About the role

We are looking for a strategic, hands-on Senior RevOps Specialist who will own revenue performance through systems, automation, and analytics, ensuring measurable improvements in acquisition efficiency, conversion quality, retention economics, and forecasting reliability.

You will combine CRM automation, performance analytics, and cross-functional governance to optimize the end-to-end GTM engine, proactively identify inefficiencies, and drive predictable revenue growth. This is a high-impact role: you design, implement, monitor, and iterate solutions that directly influence conversion, retention, and revenue. This is not a project management role; you build, ship, measure, and optimize.

Your missions

Revenue Performance Framework Definition

• Define and maintain the company-wide revenue performance scorecard, including metrics like CAC, Payback, NRR, LTV/CAC, conversion by segment, and ACV mix.
• Build cohort-based performance tracking to monitor retention across 3-, 6-, and 12-month periods by segment.
• Monitor revenue leakage and identify systemic inefficiencies across the full funnel, enabling proactive process improvements.
• Partner with Finance and Data teams to ensure accuracy, consistency, and actionability of revenue intelligence.
  
  

Process Optimization & Automation

• Optimize end-to-end GTM workflows, including onboarding, Sales, and Customer Success handoffs.
• Design and implement automation to eliminate repetitive tasks, ensure accurate data flow, and improve funnel efficiency.
• Own CRM architecture and governance, including lifecycle stages, object structures, permissions, validation rules, and system scalability.
• Continuously monitor and debug automations and workflows, ensuring revenue-critical processes remain reliable at scale.
• Document playbooks and enable adoption across teams, fostering process discipline and operational excellence.
  
  

Segment & Mix Optimization

• Track ACV evolution and performance by segment and monitor trends over time.
• Identify high-potential segments with the strongest LTV/CAC ratios to prioritize GTM resources.
• Refine lead scoring and routing logic based on downstream revenue quality, not just close rates.
• Partner with Sales, Customer Success, and Data teams to ensure segment-level insights translate into GTM strategy and execution.
  
  

Qualifications

Required

• 5+ years of experience in Revenue Operations, Sales Operations, CRM/RevOps Engineering, management consulting, or analytics/operations strategy in SaaS, high-growth tech, marketplaces, or other revenue-driven environments.
• HubSpot expert: deep, hands-on experience architecting workflows, custom objects, automations, and API integrations.
• SQL proficiency. Python or scripting capability and hands-on experience building AI-powered automations and workflows.
• API literacy: you understand how systems connect, can read API docs, and design integration flows.
• Strong understanding of subscription revenue metrics: MRR, Sales Velocity, CAC, LTV, NRR, payback period.
• Experience operating across multiple geographies or segments with different maturity levels.
• Fluency in English and at least one of: French, Italian, Spanish, or Portuguese.

Strong Plus:

• Experience with data visualization tools (Looker, Tableau, Metabase).
• Familiarity with conversational intelligence platforms and AI-powered sales tools.
• Background in high-volume SaaS, hospitality tech, or marketplaces.
• Experience integrating Customer Success operations alongside Sales operations.
• Experience building performance frameworks in B2B SaaS.
• Fluency in English + any language between French, Italian, Spanish, or Portuguese.

Our Benefits

• Competitive salary - We recognize your hard work and celebrate your success with exciting, performance-based incentives.
• Comprehensive health & wellness coverage - Your physical and mental well-being matter, and we’ve got you covered.
• Stock options - Be a part of our success with real ownership in Amenitiz.
• Get paid whenever you want - No need to wait until the end of the month - access your salary anytime.
• Flexible benefits - Save on meals, childcare, transportation, and training with our tailored remuneration options.
• Grow with us - Join a dynamic, fast-growing, and international team (35+ nationalities) with limitless career opportunities.
• Fuel your curiosity - We'll buy you ANY book you want, plus we’ve built an inspiring library to keep your learning on track

#LI-CL1

We are looking for CRM Analyst, to join our team in Barcelona.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

What Will You Do

The CRM Analyst is the measurement and intelligence engine of the central CRM organization. Operating across all game titles, this person pulls, verifies, and reports on campaign performance; tracks trends; and ensures experimentation is structured to produce reliable, actionable results. Critically, they look beyond individual game performance to surface portfolio-wide segment insights - understanding how key player cohorts like VIPs, regular customers, new players, and conversion targets perform across the full game catalog.

Campaign Reporting & Performance

• Pull and verify campaign data from the CRM platform and downstream analytics systems, reconciling any discrepancies
• Produce regular campaign performance reports for each game team and portfolio-level summaries for the Director of CRM
• Track trends over time — open rates, click rates, conversion, retention impact — and flag anomalies or degradation
• Create and maintain dashboards that give CRM/Lifecycle Lead PMs visibility into the performance of their communication programs

Experimentation Design & Governance

• Support CRM/Lifecycle Lead PMs in designing A/B and multivariate tests, ensuring appropriate sample sizes, holdout groups, and clean control conditions
• Maintain an experimentation log across all games to prevent conflicting tests and ensure results can be interpreted confidently
• Review proposed experiments for methodological soundness before launch
• Analyze and present experiment results with clear, actionable recommendations

Cross-Portfolio Segment Insights

• Define and maintain segment definitions across the portfolio (e.g., VIP, Regular Customer, New Player, Lapsed, Conversion Candidate)
• Track how these segments behave and respond to CRM across multiple titles, identifying patterns and outliers
• Produce regular cross-game segment reports that help the Director of CRM and game teams understand what works universally versus what is title-specific
• Identify high-value segment opportunities that are underserved by current campaigns

Data Integrity & Targeting Validation

• Validate that targeting attributes used in campaigns are correctly populated and reliably representing the intended audience
• Partner with Data Engineering to surface data quality issues and advocate for fixes
• Verify that audience sizes match expectations prior to campaign launch

What We’re Looking For:

• 4+ years in marketing analytics, CRM analytics, or a related data role - ideally in a behavior-based vs transactional environment -  like gaming or live services. 
• Proficiency with SQL and at least one BI or reporting tool (e.g., Looker, Tableau, Mode, or equivalent)
• Experience working with CRM or marketing automation platforms to extract and interpret campaign data
• Experience with both performance data and attribution data and able to ensure appropriate tracking is in place. 
• Ability to represent data needs to engineers if necessary data options are not available.
•  Understanding of A/Bn testing methodology, statistical significance, and experiment design across a complex set of overlapping campaigns.
• Ability to communicate data findings clearly to both technical and non-technical stakeholders
• Experience in games, apps, or a retention-driven consumer product is a strong plus
• Comfortable managing multiple reporting workstreams simultaneously across different game teams
• Experience in gaming as a player or operations manager preferred.

TECHNICAL SKILLS

• SQL (required)
• Excel / Google Sheets (advanced functions, pivot tables)
• BI tools (Looker, Tableau, Amplitude, etc.)
• Familiarity with event tracking tools (Segment, Snowflake, BigQuery, etc.)
• Basic understanding of data pipelines and data quality checks

Scopely is seeking a highly motivated Senior Analytics Engineer to join our Strategy & Business Operations team in Barcelona on a 2 day a week hybrid basis! 

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.  

The Strategy and Business Operations team works closely with the Senior Leadership of Scopely to answer critical business-related questions. By acting as a strategic partner, the team translates complex data into actionable insights that drive the company's decision-making process and long-term growth.

What You’ll Do  

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and partner with our stakeholders and their teams to enhance their daily operations and product success.
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

What We’re Looking For  

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, Terraform, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Demonstrate a solid proficiency in Python, with the ability to write clean, maintainable scripts to automate data workflows, perform exploratory data analysis and integrate various data sources within our modern tech stack.
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

📍Madrid or Barcelona, Spain  | 💰 €77,000 - €94,000 + Incentive Awards tied to your performance ➕ benefits

⭐ About the team:

Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal.

We’re looking for a Credit Risk Manager to help drive the credit and growth strategy for our consumer lending products as we grow our business in Spain. You will lead a team of analysts responsible for developing the credit and pricing strategies as we bring our products to market across the EU.

Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses.

Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way.

🔑You'll play a key role:

• Lead a team of analysts that will develop credit and pricing strategies for our Borrowing products and distribution channels
• Work closely with Borrowing squad leadership to develop and execute an ambitious growth strategy 
• Collaborate with people from engineering, marketing, product, risk and control to design and deliver new products and customer journeys
• Lead the development and maintenance of the NPV models and affordability strategies that underpin the Borrowing underwriting decisions
• Monthly monitoring and reporting on Borrowing performance to stakeholders up to executive level
• Build, maintain and own the database tables and dashboards that provide insights and promote rapid, data-driven decisions.
• Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models
• Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely

🤩 You should apply if:

• What we’re doing here at Monzo excites you!
• You have extensive experience in unsecured lending in Spain
• You have a deep understanding of lending economics and have experience developing and deploying underwriting strategies and credit models.
• You have strong analytical and data capabilities, backed up by technical coding skills. SQL is a must-have, Python and Looker experience is a plus.
• You have experience with the development and maintenance of NPV models
• You have a strong understanding of the regulations that apply to lending in Spain.
• You have track record leading and developing analytical teams
• You thrive in a fast-paced environment and are keen for the chance to improve our products and help ship changes to our customers
• You are a strong communicator, able to cut through complex problems and articulate decision points, particularly to senior leadership.
• You have experience in project management and coordination across teams.
• You work well collaborating in a team with diverse skill-sets and personality types.
• You are highly motivated and energised by the idea of bringing a positive impact to our customers and Monzo.

We're on the look out for L60 Credit Risk Managers at the moment, you can read more in our Data Progression Framework

🙌What’s in it for you

💰A base salary of €77,000 - €94,000 + Incentive Awards tied to your performance

📍This role will have a hybrid working model, based in our Barcelona or Madrid office 2 - 3 days a week.

⏰We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

🏝 Annual Leave - 38 days including public holidays

📚€1,200 learning budget each year to use on books, training courses and conferences.

🏥Private healthcare scheme

💛Wellbeing benefits: financial education, women’s and men’s health support, mental health benefits, including coaching and counselling

🌈 The application journey has 3 key steps

• Recruiter call 
• Initial call with the hiring manager 
• Final loop of interviews (x3)

This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. 

If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated.

#LI-MOS1

We are seeking an experienced and strategic Analytics Manager to lead the Everyday Banking domain (Payments, Cards, and Core Account Lifecycle) , one of our cross-functional areas shaping the development of one of the world's leading FinTech products.

About the opportunity

As an Analytics Manager, you will own the analytics strategy and execution for our Product & Business Segments within the respective domain.

You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders.

This is a hands-on leadership role, where you are expected to split your time between:

• ~50% individual contribution, focusing on the most complex and high-impact analytical problems
• ~50% team leadership and management, ensuring your team delivers high-quality work and continues to grow

In this role, you will:

Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes.

Inform product roadmap:Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams.

Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy.

Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.

Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.

Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.

Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.

Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics.

Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization.

Support some of the following product & business team initiatives (not limited to):

• Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
• Ensure continuous product releases are evaluated against business goals using robust analytical methods
• Partner with UX research to combine qualitative and quantitative insights for stronger decision-making
• Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
• Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact

What you need to be successful:

Background:

• 5+ years of experience as an individual contributor in analytics or a related field
• 1+ year of experience managing people, leading a team of 3–4 data analysts
• Proven track record of driving business impact through data

Skills:

• Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics.
• Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible.
• Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy.
• Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.
• LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics.
• Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset).
• Stakeholder influence: Confident communicator with fluency in English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions.

Nice to have:

• Experience in the specific domain
• Experience in high-growth environments 
• Experience in fintech
• Experience building or scaling analytics teams or functions

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

We are seeking an experienced and strategic Analytics Manager to lead the Financial Empowerment domain (Investments, Savings, and Lending) one of our cross-functional areas shaping the development of one of the world's leading FinTech products.

About the opportunity

As an Analytics Manager, you will own the analytics strategy and execution for our Product & Business Segments within the respective domain.

You are responsible for ensuring data is at the core of decision-making, fostering a strong data culture, and enabling teams to deliver measurable business impact. You will work in a cross-functional setup, leading a team of ~4 data analysts while partnering closely with engineers, designers, product managers, and senior business stakeholders.

This is a hands-on leadership role, where you are expected to split your time between:

• ~50% individual contribution, focusing on the most complex and high-impact analytical problems
• ~50% team leadership and management, ensuring your team delivers high-quality work and continues to grow

In this role, you will:

Help us set the right goals: Define and align domain-level KPIs and OKRs, ensuring teams are focused on the highest-impact opportunities. Establish frameworks that connect product initiatives to measurable business outcomes.

Inform product roadmap:Drive the analytics roadmap for your domain, proactively identifying strategic opportunities, risks, and trends. Ensure insights consistently shape product and business strategy across multiple teams.

Be a strategic partner: Act as a trusted advisor to senior stakeholders, influencing decision-making through high-level insights and clear recommendations. Translate complex data into business strategy.

Handle stakeholders: Own relationships with senior stakeholders across Product, Marketing, Tech and Leadership. Align cross-functional priorities and ensure analytics work is tightly integrated with broader business goals.

Evaluate initiatives: Oversee experimentation and measurement strategy across teams. Ensure robust test design, execution, and interpretation, maintaining a high bar for analytical rigor and business relevance.

Contribute to self-serve data platform: Drive the development of scalable analytics foundations in partnership with engineering. Ensure teams have access to reliable data, tools, and frameworks to independently generate insights.

Provide monitoring tools: Ensure the team delivers high-quality dashboards and monitoring systems that track performance against company OKRs. Define standards for clarity, usability, and impact.

Improve data literacy of organisation: Scale data literacy across the organization by enabling teams to better understand and use data. Establish training programs, frameworks, and best practices that empower self-serve analytics.

Be part of our data-community: Lead collaboration across analytics teams, contributing to shared standards, tooling, and strategic initiatives. Act as a thought leader within the broader data organization.

Support some of the following product & business team initiatives (not limited to):

• Guide teams in discovering new product opportunities, identifying user friction points, and prioritizing high-impact initiatives
• Ensure continuous product releases are evaluated against business goals using robust analytical methods
• Partner with UX research to combine qualitative and quantitative insights for stronger decision-making
• Ensure data tracking and instrumentation are properly designed to enable future analysis and measurement
• Personally lead the most complex and ambiguous analyses within the domain, setting the standard for quality and impact

What you need to be successful:

Background:

• 5+ years of experience as an individual contributor in analytics or a related field
• 1+ year of experience managing people, leading a team of 3–4 data analysts
• Proven track record of driving business impact through data

Skills:

• Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics.
• Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible.
• Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy.
• Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling.
• LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics.
• Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset).
• Stakeholder influence: Confident communicator with a fluent command of English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions.

Nice to have:

• Experience in the specific domain
• Experience in high-growth environments 
• Experience in fintech
• Experience building or scaling analytics teams or functions

What’s in it for you:

• Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀.
• Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. 
• As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.    
• A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, experiences, and backgrounds. 
• A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. 

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

Do you see yourself thriving in this role? We’d love to see your application even if you don’t meet 100% of the criteria. You may just be the right fit for this or other roles!

Equal opportunities for all

At N26, we believe our strength lies in our people and the varied perspectives they bring. We strive to build diverse teams that drive innovation and business success. We actively seek talent from all backgrounds and welcome applications from all genders, cultures, sexual orientations, abilities, neurodiversities, and ages.

We are committed to providing an excellent and accessible candidate experience. If you require any accommodations to make this process work for you, please let us know. We’re here to support you!

Discover more about Diversity & Inclusion at N26: https://n26.com/en-eu/diversity-and-inclusion

Scopely is looking for a Senior Product Analyst to join our Monopoly Go! team in Barcelona on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.

What you will do

As a Senior Product Analyst you will join a team of Product Analysts and Analytical Engineers, working to support one of our Vertical teams in collaboration with the wider analytics org. In this role, partnering with our internal data platform and data science teams, you will use data to generate player behavior insights and improve feature performance; from data modeling and event tracking, through to AB-testing, insightful analyses and recommendations that answer the game’s most complex and challenging questions. This is an individual contributor role, that has a lot of independence and responsibility, with building processes and taking end to end analytics projects

• Data Analysis: Dive deep into large, complex data sets to extract actionable insights that drive strategic decision-making. Analyze player behavior, game performance, and trends to inform product strategies and optimizations
• Game Team Support: Collaborate with stakeholders to identify opportunities and challenges to the specific game vertical.  Define key metrics, establish data collection processes, implement analytical frameworks and effectively communicate the insights to drive continuous improvement
• Ownership of Analysis: Take ownership of end-to-end analytical projects, from the inception of a new feature to ensure robust reporting and monitoring is in place, to design and assess A/B experimentation and deliver final insights, interpretations and presentations. 
• Drive the execution of analytical initiatives with precision and attention to detail
• Cross-functional Collaboration: Work closely with teams across the organization, to translate data insights into impactful business outcomes.
• Product Roadmap Influence: Partner to shape the future direction of the game
• Digging Deep: Hands-on exploration into existing reports and data, correlation of KPIs, definition of success for the Vertical, to identify the needs and gaps and actively work towards the improvements. Leverage data-driven insights to prioritize features, optimize game economies, and refine product roadmaps for maximum player engagement and satisfaction
• Presentation and Communication: Effectively communicate complex findings and recommendations to stakeholders at all levels of the organization. Present insights in a clear, concise manner through compelling presentations and reports

What We’re Looking For

• Passion for continuous learning in a fast-paced, highly-collaborative environment
• Excellent English communication skills, written and verbal
• Intellectual curiosity and analytical rigor
• 4+ years of experience as a Data Analyst or Business Intelligence related role. Gaming industry background is an advantage.
• Solid knowledge of SQL and comfort working with large data sets – exposure with BigQuery and Python/R experience a plus
• Working Knowledge of visualization tools: Looker (Preferred), Qlikview, Tableau or PowerBI
• Strong presentation skills; ability to communicate complex results throughout an organization
• A love for or strong desire to work with mobile games

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Imagínate en Ogilvy.

Imagina que puedes hacer crecer a las marcas y su impacto positivo en la sociedad de una forma creativa y relevante. Y que, además, también creces tú. En Ogilvy esa es nuestra misión. Y lo hacemos incorporando a personas creativas, estratégicas, valientes, disruptivas, curiosas, detallistas, proactivas, entusiastas, analíticas, multidisciplinares, open minded y todo lo bueno que te puedas imaginar.

¿Te imaginas que eres tú? Pues súmate al equipo.

Buscamos CRM Specialist (Braze) con perfil técnico para unirse al equipo de Data y se encargue de gestionar técnicamente los planes de comunicación y las campañas de marketing de nuestros clientes en diferentes canales y según las herramientas de cada cliente. Utilizará principalmente herramientas de CRM en Ogilvy Barcelona.

Estudios requeridos

Experiencia requerida

Conocimientos

Idiomas

Competencias

¿Qué harías en este nuevo reto?

¿Cómo es nuestra persona ideal?

Y como seguro que darás esto y mucho más, nosotros también queremos darte mucho más:

Si te has imaginado en esta posición, buena señal. En Ogilvy queremos contar con el mejor talento. Que nos rete y nos haga ser mejores. Con ganas de vivir una cultura de agencia abierta a la diversidad como principio y la conectividad como herramienta principal. 

Así que sí estás asintiendo con la cabeza mientras lees, ¡envíanos tu CV!

Job Details

• 💼 Sales Operations | Business Operations
• 📍 United Kingdom
• 🕜 Full-Time Remote

What you will do

As a Senior Manager, Sales Operations, you will be leading our global team of dedicated tactical specialists and analysts responsible for the data, systems and insights that empower our sales organization and you will be reporting to our Director, Sales Operations. You will be a key player in our commercial success, providing support and strategic guidance to our sales teams. This role requires a leader who can manage day-to-day execution, delegate effectively, and help the team prioritize in a fast-paced environment. Your expertise will be important in shaping sales strategies and capitalizing on revenue opportunities across the global business.

Where you will have impact

• Lead, mentor, and develop a team of 5 (and growing) sales operations professionals in a supportive environment.
• Evaluate our current structures, and implement the changes necessary to create a unified, scalable tactical sales operations team
• Execute the sales operations strategy by identifying process enhancements and translating data analysis into actionable business recommendations to the Revenue Team.
• Oversee the development and maintenance of key reports and dashboards for sales leadership, including forecasting, pipeline management, and quota attainment.
• Partner with Sales Enablement to manage and enforce global sales processes, ensuring adherence and a smooth roll-out of new procedures.
• Act as a key point of contact for the sales team, providing support on the Salesforce lead-to-quote-to-cash process and coordinating with cross-functional teams.
• Manage stakeholder expectations by effectively prioritizing tasks and communicating progress on key initiatives to senior leadership.
• You will help define the 'Lighthouse way' of working by integrating AI into your role—whether it’s using AI to prioritize your sales pipeline, automate routine financial reconciliations, or extract faster insights from our commercial data to drive business growth.

About our team

You'll be joining our Sales Operations team, reporting to the Director, Sales Operations within the wider Business Operations department. We are a collaborative and essential crew that acts as the operational backbone for our global sales organization. You'll work closely with other teams and senior leadership, providing the insights and support that keep our commercial teams running.

What's in it for you

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Alan Healthy benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized up to 80% ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

Essential

• Proven experience in a sales operations or revenue operations role.
• Experience working within a complex sales organization with multiple roles (e.g., SDRs, AEs, AMs).
• Experience in a high-growth Tech or SaaS company, particularly one that has undergone M&A activity.
• Demonstrated team management experience, with a passion for leading and developing high-performing individuals.
• Mandatory, in-depth experience with Salesforce, including reporting and dashboard creation.
• Strong analytical skills with the ability to translate data and analysis into actionable business insights.
• Excellent organizational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
• Exceptional communication and stakeholder management skills, with a collaborative mindset to work effectively across teams.
• Fluent in both written and spoken English.
• You are an AI-curious professional who actively explores how generative AI and automation can optimize your daily workflows. You don't just follow processes; you look for ways to augment them using the latest tech tools to increase your personal impact.

We welcome

• Familiarity with Looker or other data visualization tools.

Job Details

• 💼 Sales Operations | Business Operations
• 📍 Spain | Barcelona (open to any location is Spain)
• 🕜 Full-Time/Hybrid | Full-Time Remote

What you will do

As a Senior Manager, Sales Operations, you will be leading our global team of dedicated tactical specialists and analysts responsible for the data, systems and insights that empower our sales organization and you will be reporting to our Director, Sales Operations. You will be a key player in our commercial success, providing support and strategic guidance to our sales teams. This role requires a leader who can manage day-to-day execution, delegate effectively, and help the team prioritize in a fast-paced environment. Your expertise will be important in shaping sales strategies and capitalizing on revenue opportunities across the global business.

Where you will have impact

• Lead, mentor, and develop a team of 5 (and growing) sales operations professionals in a supportive environment.
• Evaluate our current structures, and implement the changes necessary to create a unified, scalable tactical sales operations team
• Execute the sales operations strategy by identifying process enhancements and translating data analysis into actionable business recommendations to the Revenue Team.
• Oversee the development and maintenance of key reports and dashboards for sales leadership, including forecasting, pipeline management, and quota attainment.
• Partner with Sales Enablement to manage and enforce global sales processes, ensuring adherence and a smooth roll-out of new procedures.
• Act as a key point of contact for the sales team, providing support on the Salesforce lead-to-quote-to-cash process and coordinating with cross-functional teams.
• Manage stakeholder expectations by effectively prioritizing tasks and communicating progress on key initiatives to senior leadership.
• You will help define the 'Lighthouse way' of working by integrating AI into your role—whether it’s using AI to prioritize your sales pipeline, automate routine financial reconciliations, or extract faster insights from our commercial data to drive business growth.

About our team

You'll be joining our Sales Operations team, reporting to the Director, Sales Operations within the wider Business Operations department. We are a collaborative and essential crew that acts as the operational backbone for our global sales organization. You'll work closely with other teams and senior leadership, providing the insights and support that keep our commercial teams running.

What's in it for you

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Alan Healthy benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized up to 80% ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

Essential

• Proven experience in a sales operations or revenue operations role.
• Experience working within a complex sales organization with multiple roles (e.g., SDRs, AEs, AMs).
• Experience in a high-growth Tech or SaaS company, particularly one that has undergone M&A activity.
• Demonstrated team management experience, with a passion for leading and developing high-performing individuals.
• Mandatory, in-depth experience with Salesforce, including reporting and dashboard creation.
• Strong analytical skills with the ability to translate data and analysis into actionable business insights.
• Excellent organizational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
• Exceptional communication and stakeholder management skills, with a collaborative mindset to work effectively across teams.
• Fluent in both written and spoken English.
• You are an AI-curious professional who actively explores how generative AI and automation can optimize your daily workflows. You don't just follow processes; you look for ways to augment them using the latest tech tools to increase your personal impact.

We welcome

• Familiarity with Looker or other data visualization tools.

Job Details

• 💼 Sales Operations | Business Operations
• 📍 Belgium
• 🕜 Full-Time Remote

What you will do

As a Senior Manager, Sales Operations, you will be leading our global team of dedicated tactical specialists and analysts responsible for the data, systems and insights that empower our sales organization and you will be reporting to our Director, Sales Operations. You will be a key player in our commercial success, providing support and strategic guidance to our sales teams. This role requires a leader who can manage day-to-day execution, delegate effectively, and help the team prioritize in a fast-paced environment. Your expertise will be important in shaping sales strategies and capitalizing on revenue opportunities across the global business.

Where you will have impact

• Lead, mentor, and develop a team of 5 (and growing) sales operations professionals in a supportive environment.
• Evaluate our current structures, and implement the changes necessary to create a unified, scalable tactical sales operations team
• Execute the sales operations strategy by identifying process enhancements and translating data analysis into actionable business recommendations to the Revenue Team.
• Oversee the development and maintenance of key reports and dashboards for sales leadership, including forecasting, pipeline management, and quota attainment.
• Partner with Sales Enablement to manage and enforce global sales processes, ensuring adherence and a smooth roll-out of new procedures.
• Act as a key point of contact for the sales team, providing support on the Salesforce lead-to-quote-to-cash process and coordinating with cross-functional teams.
• Manage stakeholder expectations by effectively prioritizing tasks and communicating progress on key initiatives to senior leadership.
• You will help define the 'Lighthouse way' of working by integrating AI into your role—whether it’s using AI to prioritize your sales pipeline, automate routine financial reconciliations, or extract faster insights from our commercial data to drive business growth.

About our team

You'll be joining our Sales Operations team, reporting to the Director, Sales Operations within the wider Business Operations department. We are a collaborative and essential crew that acts as the operational backbone for our global sales organization. You'll work closely with other teams and senior leadership, providing the insights and support that keep our commercial teams running.

What's in it for you

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Mobility options: Mobility budget or company car (based on your job category).
• Competitive compensation: Proactively maintained to value your work.
• Net allowance: to support home office related expenses.
• Vouchers: lunch vouchers & eco vouchers.
• Comprehensive health insurance: Extensive coverage for you and your dependents.
• Pension funding: Group insurance to secure your future.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

Essential

• Proven experience in a sales operations or revenue operations role.
• Experience working within a complex sales organization with multiple roles (e.g., SDRs, AEs, AMs).
• Experience in a high-growth Tech or SaaS company, particularly one that has undergone M&A activity.
• Demonstrated team management experience, with a passion for leading and developing high-performing individuals.
• Mandatory, in-depth experience with Salesforce, including reporting and dashboard creation.
• Strong analytical skills with the ability to translate data and analysis into actionable business insights.
• Excellent organizational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
• Exceptional communication and stakeholder management skills, with a collaborative mindset to work effectively across teams.
• Fluent in both written and spoken English.
• You are an AI-curious professional who actively explores how generative AI and automation can optimize your daily workflows. You don't just follow processes; you look for ways to augment them using the latest tech tools to increase your personal impact.

We welcome

• Familiarity with Looker or other data visualization tools.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

• Lead the growth strategy for user acquisition and activation across Wallapop’s app and web platforms.

• Design, run, and analyze experiments to improve engagement at every stage of the journey — from registration to the first transaction.

• Collaborate cross-functionally with engineering, design, data, and marketing to deliver high-impact growth initiatives.

• Partner with the Head of Acquisition to align marketing performance (SEO, SEM, Google Shopping) with in-product experiences that drive long-term activation.

• Leverage data and insights to identify and remove friction points in the onboarding and listing/buying flows.

• Define and monitor key metrics including activation rate, conversion rate, cost per activated user, and repeat transaction rate.

• Cultivate a culture of experimentation, utilizing A/B testing, cohort analysis, and iterative product improvements.

• Communicate learnings and results across product, marketing, and leadership teams to ensure shared goals and transparent progress.

What We’re Looking For 🔎

• Experience: Extensive experience in Product Management, with a focus on growth, activation, or conversion optimization.

• Experimental Mindset: A proven track record of driving measurable growth through data-informed experimentation and journey optimization.

• Analytical Depth: A strong analytical mindset with a comprehensive understanding of growth metrics and lifecycle flows.

• Collaborative Leadership: Experience working effectively within cross-functional teams of engineers, data scientists, designers, and marketers.

• Marketing Fluency: A solid understanding of how organic and paid channels (SEO, social, app campaigns) intersect with the product experience.

• Communication: Excellent storytelling skills; the ability to influence and align stakeholders around data-driven decisions.

• Tooling: Familiarity with A/B testing tools and analytics platforms (such as Amplitude, Mixpanel, or Looker).

• Mission-Driven: A genuine interest in marketplaces, user behavior, and sustainable consumption.

What Would Be A Plus 🚀 

• • Experience in marketplace or e-commerce environments, especially involving supply/demand dynamics.

  • Technical background or a high degree of comfort collaborating closely with engineering teams on architectural trade-offs.

  • Understanding of user segmentation, CRM automation, or retention marketing.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly product advantages (Wallapop Club)
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60 minutes.

Case Study Submission - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.

Case study Interview - You will present the case study to showcase your product expertise. This usually takes 60 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. 

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

At Wallapop, we’ve built a strong foundation of qualitative understanding. Through continuous discovery, user feedback and close collaboration with teams, we’ve developed a rich view of how people experience our product and why they behave the way they do.

What we need now is to complement that foundation with stronger quantitative ownership: making user understanding measurable, scalable and consistently actionable across the company.

As our Senior Quantitative Researcher, you will own quantitative research at Wallapop. Your mission will be to build the frameworks, governance and measurement systems that help us move from fragmented signals and intuition-led decisions to a more robust, shared and evidence-based understanding of user experience.

This role is not only about running quantitative studies. It is about shaping how the company uses quantitative evidence to make better decisions. You will define how we measure perception, satisfaction, trust and other key experience drivers, improve how we quantify the prevalence, importance and severity of user problems, and connect inputs such as surveys, qualitative research, user reviews, customer support feedback and behavioral data into a more coherent decision-making system.

You will work closely with Product Analytics, Data Science, Product, Design, UX Leadership, and our Discovery & Insights research function, acting as a bridge between data and human behavior. Your work will reduce uncertainty in product bets, strengthen the link between user perception and business performance, and help Wallapop make smarter, more confident decisions at scale.

What You Will Do 👇

• Own and evolve quantitative research at Wallapop, defining how it supports product, design and business decisions across the company.
• Define, implement and evolve frameworks to measure user experience, perception, satisfaction, trust and other key user-related signals across the company.
• Own survey governance, setting standards and guidance for when and how surveys should be used, how results should be interpreted, and how survey-based evidence can be made reliable and decision-useful.
• Build scalable approaches to quantify the prevalence, importance and severity of user problems, helping teams understand not only what users experience, but how important those issues are, who they affect, and where to act first.
• Design, execute and analyze quantitative research initiatives, including surveys, experiments and other measurement approaches, to support both exploratory and evaluative product work.
• Partner with Product Analytics and Data Science to connect user perception and attitudinal signals with behavioral and business data, creating a more holistic understanding of product performance.
• Collaborate closely with the Discovery & Insights research function to translate rich qualitative signals into measurable hypotheses, validation plans and tracking mechanisms.
• Standardize and improve how Wallapop measures and monitors experience quality across products and journeys, including simplifying and unifying satisfaction and feedback frameworks where needed.
• Help integrate and make sense of multiple feedback sources, such as user research, customer support inputs, reviews and other experience signals, turning them into structured and actionable quantitative evidence.
• Lead end-to-end research projects, from framing the problem and choosing the right methodology to synthesizing findings and influencing decisions with clear recommendations.
• Support teams in identifying the right research questions, selecting the right methods and using quantitative evidence effectively in product and design decision-making.
• Communicate insights in a clear, credible and actionable way to different audiences, from product teams to senior stakeholders, adapting the level of depth and complexity when needed.
• Contribute to the development of research practices, standards and ways of working that improve the quality, consistency and scalability of research at Wallapop.
• Mentor and guide peers in the use of quantitative methods, helping strengthen a culture where user understanding is measurable, trustworthy and decision-ready.

What We’re Looking For 🔎

• You have 6+ years of experience in quantitative user research or similar roles in digital product environments, including clear experience building or evolving measurement frameworks, leading complex cross-functional research initiatives, and influencing product or business decisions through evidence.
• You have strong expertise in survey design, quantitative research methods and statistical analysis, and know how to apply them pragmatically to product and business questions, ensuring survey-based insights are robust, interpretable and useful for decision-making.
• You are proficient in tools such as R or Python, and comfortable working with user-level data to uncover patterns, generate insight and support decision-making.
• You have experience building or evolving measurement frameworks, trackers or recurring research systems, not only running one-off studies.
• You have experience owning or shaping survey governance, helping ensure quantitative evidence is generated and used with rigor and consistency.
• You have experience quantifying the prevalence, importance and severity of user problems, helping distinguish between isolated feedback and meaningful patterns that should influence prioritization.
• You are able to connect and synthesize different types of evidence, including attitudinal, qualitative, behavioral and operational signals, to build a more complete understanding of the user experience.
• You are confident in translating ambiguous business or product questions into strong research approaches, and turning findings into actionable recommendations.
• You know how to balance methodological rigor with pragmatism, and can adapt your approach depending on the context, the level of uncertainty and the decision at stake.
• You are an excellent communicator who can explain complex findings clearly and persuasively to cross-functional partners and senior stakeholders.
• You enjoy working collaboratively across disciplines and are comfortable partnering with Product, Design, Data Science, Analytics and Research to drive impact.
• You are motivated by building systems, raising the quality of decision-making, and helping an organization become more evidence-based over time.

What Would Be A Plus 🚀

• Experience managing satisfaction programs or other recurring measurement systems.
• Experience with sampling, weighting and other advanced survey methodology techniques.
• Experience using tools such as Looker, Amplitude or similar analytics and visualization platforms.
• Experience in marketplace, e-commerce or other trust-sensitive digital environments.
• Experience working across multiple markets, audiences or cultural contexts.
• Experience mentoring researchers or helping teams adopt quantitative methods and evidence-based practices.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Free office meals, lunch selection from different providers
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.**

Intro Call – Run by Talent Acquisition, focused on providing more information about the role and the company, as well as understanding your experience, motivation and expectations. This usually takes 45–60 minutes.

Case Study – We will ask you to submit within 5 to 7 days a case study based on a past project that is representative of your work.

Expertise Interview – Led by the hiring team, this conversation is focused on challenging and pressure-testing your thinking in a given context. This usually takes 60–90 minutes.

Stakeholder Interview – Run by relevant stakeholders reflecting the reality of the context of the role, focused on your ability to collaborate and deliver in a cross-functional setup. This usually takes 60 minutes.

Culture Interview – Run by culture interviewers, focused on your alignment with Wallapop’s purpose and business proposition. This usually takes 60 minutes.

Offer – Should you be the right candidate, your offer will be discussed over a call with Talent Acquisition and then confirmed in writing.

The Role

As a Data Analyst, you’ll help our customers get up and running on Affinity by importing their data and setting up the platform to support their workflows. You’ll work closely with our Onboarding, Implementation, and Customer Success teams, and play a key role in communicating directly with customers to gather requirements, set expectations, and deliver clear, actionable reports that demonstrate the value of their data setup.

What you’ll do:

• Import and transform customer CSV data into Affinity and configure tables, lists, and fields so that customers can hit the ground running.
• Manage the data import queue with discipline — tracking status, ETA, priority, and next steps for every import.
• Clean, deduplicate, and validate data to ensure high-quality imports.
• Work with Onboarding and Implementation teams to map customer data to Affinity’s data model.
• Lead requirements-gathering conversations with customers to understand their data structures, workflows, and reporting needs.
• Translate customer requirements into well-structured data configurations and reports that align with their business goals.
• Build and deliver clear reports and dashboards for customers that surface key insights from their imported data.
• Communicate proactively with customers to clarify data formats, align on timelines, and keep stakeholders informed throughout the onboarding process.
• Leverage AI tools to automate and templatize repeatable workflows.

What we’re looking for:

Don’t meet every single requirement? At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role, we encourage you to apply anyways.

• Excel / Google Sheets power user — comfortable with VLOOKUP, INDEX/MATCH, pivot tables, and text manipulation.
• Strong client communication skills, with the ability to lead requirements-gathering conversations, ask the right questions, and translate business needs into technical solutions.
• Confident communicator who can present data findings and reports to non-technical stakeholders in a clear, concise way.
• Strong attention to detail with a quality-first mindset.
• Familiarity with CRM platforms or database concepts (fields, records, relationships).
• Good communication skills.
• Organized and able to manage multiple imports with competing deadlines.
• Manage the data import queue with discipline — tracking status, ETA, priority, and next steps for every import.
• Experience with data analytics, reporting, or dashboard building (Looker, Tableau, or similar).

Nice to have:

• Experience in B2B SaaS, customer onboarding, or professional services.

Scopely is looking for a Data Analyst to join our Global Advertising team in Barcelona on a flexible hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people worldwide daily.

As a  Data Analyst you will help shape and scale monetization strategies across some of the world’s most engaging mobile games.

This is a product-facing, high-impact role where you’ll own the analytical thinking behind monetization decisions—leveraging data, experimentation, and player insights to drive revenue growth while enhancing the player experience.

If you’re a strong analyst who thrives in experimentation, enjoys solving complex problems, and wants your work to directly influence product strategy at scale, this role offers a unique opportunity to step into monetization within gaming.

What You’ll Do:

• Own monetization insights: Analyze player behavior and performance data to identify opportunities that improve revenue and user experience.
• Drive experimentation: Design, execute, and interpret A/B tests to optimize monetization strategies, features, and user journeys.
• Influence product decisions: Partner closely with Product Managers and Engineers to translate insights into impactful product improvements.
• Build decision frameworks: Move beyond reporting—develop clear, structured recommendations that guide product and business strategy.
• Create visibility: Build and maintain dashboards and tools that empower stakeholders to track performance and make informed decisions.
• Support forecasting & planning: Collaborate with Finance and Product teams to improve forecast accuracy and align on key drivers of growth.
• Communicate with impact: Present insights and recommendations clearly to both technical and non-technical audiences, influencing decisions across the organization.

What We’re Looking For:

We’re prioritizing analytical excellence, product thinking, and experimentation mindset over direct domain experience.

• 3+ years of experience in data analysis, product analytics, or growth analytics (B2C, mobile apps, marketplaces, fintech, etc.)
• Strong proficiency in SQL and experience working with large, complex datasets
• Hands-on experience with A/B testing and experimentation frameworks
• Proven ability to translate data into clear, actionable insights that drive business outcomes
• Strong business acumen—you understand how metrics connect to user behavior, product decisions, and revenue impact
• Experience with data visualization tools (Looker, Tableau, or similar)
• Excellent communication skills, with the ability to influence cross-functional stakeholders
• Highly organized and comfortable working in a fast-paced, collaborative environment

Nice to Have (Not Required):

• Exposure to monetization, pricing, growth, or revenue optimization
• Familiarity with digital advertising or ad monetization ecosystems
• Experience in mobile apps, gaming, or consumer-facing products

The Community You Will Join:

The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.

The Difference You will Make:

This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.

As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.

A Typical Day: 

Strategic Planning & Analysis

• Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
• Build and maintain frameworks for tracking business performance against OKRs and company priorities
• Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA

Operational Excellence

• Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
• Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
• Identify bottlenecks, risks, and opportunities — and drive action plans to resolution

Cross-Functional Collaboration

• Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
• Facilitate alignment across stakeholders on high-priority projects and regional launches
• Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles

Insights & Storytelling

• Translate complex data into clear, compelling narratives for leadership audiences
• Build dashboards, reports, and presentations that drive informed decision-making
• Champion a culture of data-driven thinking within the team

Your Expertise:

• 10+ years of experience in business operations, strategy, management consulting, or a related analytical role
• Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. . 
• Proven ability to manage complex, cross-functional projects from ideation to execution
• Excellent communication and presentation skills — both written and verbal
• Comfort operating in ambiguity with a bias toward action and ownership
• Experience working in a fast-paced, global environment

Additional

• Experience in a two-sided marketplace, travel/hospitality, or tech industry
• Familiarity with Airbnb's business model and the EMEA market landscape

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Join:

The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.

The Difference You will Make:

This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.

As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.

A Typical Day: 

Strategic Planning & Analysis

• Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
• Build and maintain frameworks for tracking business performance against OKRs and company priorities
• Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA

Operational Excellence

• Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
• Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
• Identify bottlenecks, risks, and opportunities — and drive action plans to resolution

Cross-Functional Collaboration

• Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
• Facilitate alignment across stakeholders on high-priority projects and regional launches
• Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles

Insights & Storytelling

• Translate complex data into clear, compelling narratives for leadership audiences
• Build dashboards, reports, and presentations that drive informed decision-making
• Champion a culture of data-driven thinking within the team

Your Expertise:

• 10+ years of experience in business operations, strategy, management consulting, or a related analytical role
• Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. . 
• Proven ability to manage complex, cross-functional projects from ideation to execution
• Excellent communication and presentation skills — both written and verbal
• Comfort operating in ambiguity with a bias toward action and ownership
• Experience working in a fast-paced, global environment

Additional

• Experience in a two-sided marketplace, travel/hospitality, or tech industry
• Familiarity with Airbnb's business model and the EMEA market landscape

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Join:

The Homes Supply team is responsible for growing Airbnb’s supply base and ensuring we maintain a diverse, high-quality portfolio of home listings that meet guest expectations for value, variety, and experience. The team also supports hosts globally by enabling efficient planning and execution of growth strategies that align with Airbnb’s mission and resonate with local communities.

The Difference You will Make:

This role requires candidates to be based in Barcelona, London, Paris. This role is not eligible for relocation support.

As a EMEA Supply Business Operations, you are entrusted with the Strategy and Planning activities for the region, working closely with the Territory Managers, Acquisition Lead, as well as many cross-functional teams.

A Typical Day: 

Strategic Planning & Analysis

• Partner with the EMEA Homes Director to define and execute regional strategy, goals, and key initiatives
• Build and maintain frameworks for tracking business performance against OKRs and company priorities
• Conduct deep-dive analyses on market trends, competitive landscape, and growth opportunities across EMEA

Operational Excellence

• Design and improve operational processes to increase efficiency, transparency, and cross-functional alignment
• Own the cadence of business reviews (WBRs, MBRs, QBRs), ensuring the leadership team has clear visibility into performance
• Identify bottlenecks, risks, and opportunities — and drive action plans to resolution

Cross-Functional Collaboration

• Act as a connective tissue between the EMEA Homes team and key partners including Product, Marketing, Policy, Finance, Data Science, and Customer Service
• Facilitate alignment across stakeholders on high-priority projects and regional launches
• Represent EMEA Homes perspectives in global Biz Ops forums and planning cycles

Insights & Storytelling

• Translate complex data into clear, compelling narratives for leadership audiences
• Build dashboards, reports, and presentations that drive informed decision-making
• Champion a culture of data-driven thinking within the team

Your Expertise:

• 10+ years of experience in business operations, strategy, management consulting, or a related analytical role
• Strong analytical skills with proficiency in SQL, Excel/Sheets, and data visualization tools (e.g., Tableau, Looker, Superset); AI knowledge. . 
• Proven ability to manage complex, cross-functional projects from ideation to execution
• Excellent communication and presentation skills — both written and verbal
• Comfort operating in ambiguity with a bias toward action and ownership
• Experience working in a fast-paced, global environment

Additional

• Experience in a two-sided marketplace, travel/hospitality, or tech industry
• Familiarity with Airbnb's business model and the EMEA market landscape

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Scopely is looking for a Senior/ Data Analyst to join our Strategic Analytics team in Barcelona on a hybrid basis!

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

The Strategic Analytics team supports the Scopely portfolio by providing insights, reporting, knowledge sharing, KPI frameworks, and scalable data products that leverage advanced analytics and AI to strengthen the long-term health of each game.

What You Will Do

As a Data Analyst in the Strategic Analytics team, you will play a central role in helping game teams across our portfolio drive long-term game health. You will leverage data to uncover player behavior insights, shape KPIs, and develop scalable reporting and knowledge-sharing tools. Your work will empower cross-functional stakeholders to make more informed decisions and align strategy across diverse game genres.

• Analyze large-scale, complex datasets representing the behavior of millions of online and mobile game players to address strategic and operational business questions
• Translate complex analyses into clear, actionable recommendations that drive business decisions
• Provide insights about the health of our portfolio, both within and across genres, to drive business decisions across all key functions
• Contribute to the development of jaw-dropping data products to more effectively surface the group’s findings
• Define KPI frameworks and lead advanced analytical deep-dives to uncover actionable insights, while building scalable data products that help game teams improve and optimize LTV and loyalty.
• Develop cross-portfolio analysis and reporting products that enable scalable, self-serve access to insights, drive strategic alignment across the company, and ensure data influences decisions at all levels
• Leverage AI tools and techniques to accelerate analysis, automate repetitive workflows, scale insight generation, and enhance decision-making across the portfolio
• Proactively identify opportunities to replace manual analysis with AI-driven or automated solutions, improving efficiency and depth of insights
• Partner with Data Science and Data Engineering teams to develop and integrate advanced analytics and AI solutions into scalable data products

What You Will Need

• Intellectual curiosity and analytical rigor, with a strong drive to leverage emerging technologies (including AI) to innovate and improve analytical workflows
• 3 or more years of experience as a Data Analyst, preferably at a top-tier institution or firm in an analysis, scientific, research, or consulting role
• Strong presentation and Storytelling skills; ability to communicate complex results throughout an organization
• Critical thinking and problem-solving capabilities
• Working knowledge of SQL and comfort working in large data sets – exposure to BigQuery is a plus
• Working Knowledge of visualization tools like Looker, Tableau, or Qlikview
• Python experience for data analysis 
• Strong interest in leveraging AI as a co-pilot for analytics, with the ability to critically assess and validate AI-generated outputs
• Advanced knowledge of Excel/Google Spreadsheets
• B.S. (graduate degree a plus) from a top institution in a quantitative or scientific field (Math/Stats, Economics, CS, Engineering, Physics, or similar)
• A love or strong desire to work with mobile games

Bonus Points

• Prior experience working in the gaming industry is a plus, but not required

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state, and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.    

📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨

⭐Our Borrowing team

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. 

⭐ Our Analytics Engineering team

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑 You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry.
• Nurture between 6  and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others.
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others.
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩 We’d love to hear from you if…

You have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect.
• You know what it takes to hire great engineers within the data space.
• You’re equally comfortable working hands on and leading a team.

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
• Experience with any of our stack of dbt, BigQuery and Looker

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰Base salary range for this role is dependent on experience + benefits 

📍Barcelona, Spain

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

Recruiter Screening Call

Initial Call

Final Loop (3 sessions - case study, collaboration and people leadership)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE 

#LI-AS #LI-Remote

Scopely is looking for a proactive and strategically minded Global Creator Program Manager to support and evolve our global Stumble Guys Content Creator Program in Barcelona on a Hybrid basis!

This role is responsible for translating strategy into clear plans and activations, managing the global creator calendar, generating insights from performance data, and ensuring alignment across teams. You will work closely with an external execution partner who manages day-to-day engagement and operations, while you focus on program coordination, reporting, and creator relationships.This requires someone who understands how creator ecosystems work and can turn ideas and strategy into structured execution plans.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily. 

What You’ll Do 

• Translate business and GTM priorities into structured creator initiatives and activation plans.
• Own and manage the Global Creator Activities Calendar, ensuring alignment across teams.
• Propose and develop new ideas to evolve and strengthen the Creator Program.
• Collaborate closely with the external execution partner, providing direction, priorities, and feedback.
• Monitor program performance and prepare weekly and monthly reports.
• Extract insights from performance data and community feedback, turning them into actionable improvements.
• Track and review creator code performance and monetization impact.
• Maintain direct interaction with Content Creators via Discord and calls.
• Support monthly syncs between creators and development teams.
• Act as the main bridge between the Creator Program and Marketing, Live Ops, Development, and Support teams.
• Ensure visibility, coordination, and follow-up across cross-functional initiatives.
• Contribute to the evolution of program structures, tiers, incentives, and participation criteria.

What We’re Looking For 

• Bachelor’s degree in Marketing, Communications, or a related field.
• Experience in gaming or very strong gaming ecosystem knowledge
• 5+ years managing Creator Programs.
• Experience working directly with influencers and streamers.
• Experience owning or helping build a creator programme for a live service game (incentives/ rewards programme, creator onboarding, content calendar, etc.) 
• Proven ability to manage and execute strategy, set clear goals, and oversee campaign operations.
• Strong analytical skills, with the ability to extract insights, identify patterns, and define actionable optimizations from performance data
• Good organizational skills and ability to manage multiple tasks / projects simultaneously.
• Familiarity with analytics platforms, such as Looker, Hootsuite, Level Up, among others.
• Excellent communication skills, both verbal and written, in English.
• Direct experience in gaming or a strong passion for gaming, social gaming communities.
• Community experience, mainly Discord.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

• Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels
• Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products
• Establish and maintain robust data observability practices—including automated data validation, anomaly detection, SLAs, and alerting—to ensure trust and reliability across the pipeline
• Utilize cutting-edge technology stack including BigQuery, dbt and Looker
• Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success
• Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects
• Mentor team members and drive the adoption of best practices within the team

• A strong passion for solving complex analytical puzzles
• Proven ability to translate business needs into advanced analytics solutions
• Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows)
• Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles
• Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas)
• Hands-on experience with data observability frameworks and data validation methods (e.g., dbt tests, schema testing, anomaly detection, SLAs/SLIs, lineage tools)
• A high valuation of business context and the drive to achieve technical excellence
• An inclination towards collaboration and pride in contributing to high-functioning teams
• Enjoyment in working within fast-paced, growth-oriented environments
• A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus!

Scopely is seeking a highly motivated Senior Product Analyst to join our Direct-to-Consumer team in Barcelona on a hybrid basis!

At Scopely, we care deeply about inspiring play, every day – whether in our work environments alongside talented colleagues or through our deep connections with player communities. We are a global team of game lovers who develop, publish, and innovate the gaming industry, connecting millions of people worldwide daily. 

What You’ll Do  

You’ll develop a suite of D2C dashboards that are trusted and widely used across both central and game teams, run D2C A/B testing programs across the portfolio, and regularly collect, analyze, and present insights that game team decision makers will use to drive impact.

• Proactively investigate & gather data-driven justification for D2C growth opportunities
• Build & maintain the suite of D2C dashboards used by key stakeholders and use them to create reports on D2C performance
• Influence other data & analytics groups to execute D2C analyses or dashboard-building on our behalf where it makes sense
• Diagnose D2C performance shifts across traffic, conversion, retention, and monetization
• Translate ambiguous executive asks into structured analytical approaches
• Pull & analyze large volumes of player data needed to answer key business questions
• Design, validate, and interpret A/B tests (from experiment design to impact sizing)
• Produce compelling visualizations and summary slides tailored to a variety of audiences from IC teams to executives
• Partner with Data Engineering to commission new data infrastructure when needed - writing clear technical specs that translate business needs into implementation requirements.

What We’re Looking For  

• 3-5 years of experience in analytics within high-scale consumer apps
• Advanced SQL proficiency (BigQuery or similar warehouse environments)
• Experience building dashboards in Looker
• Strong experience designing and interpreting A/B tests
• Ability to translate business questions into specific analytical plans
• Ability to synthesize data into clear business insights
• Strong presentation skills - able to communicate effectively to both technical and non-technical stakeholders.

Bonus Points

• Experience working on or closely with mobile F2P games (Casual and Midcore)
• Strong understanding of D2C strategy within F2P ecosystems
• Familiarity with agentic AI tools for productivity (scripting, data formatting, workflow acceleration)
• Experience using Hex or other AI-assisted data analysis platforms.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Scopely is looking for a Senior Data Scientist to join our Monopoly GO! game team in our Barcelona hub on a hybrid basis, or remotely in Spain or Portugal.

At Scopely, we care deeply about what we do and want to inspire play, every day. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people around the world daily.

What You Will Do 

As a Senior Data Scientist, you will play a key role in supporting game growth by leveraging data to build innovative, player-centric solutions. You won't just analyze data; you will own the lifecycle of data products — from identifying a player pain point to deploying a production-level solution.

• Product Vision & Strategy: Partner with Product Managers and Stakeholders to identify high-value opportunities, helping to define the data science roadmap for the one of the world’s biggest mobile games.
• End-to-End Ownership: Own the process of creating new data products, from initial inception and requirement gathering to technical design, productionalization, and monitoring.
• Player Insights: Analyze player behavior to understand how features impact the game economy, progression, social dynamics, and sentiment.
• Advanced Modeling: Design and implement A/B tests, forecasting, clustering, and ML models that don't just "predict," but provide actionable "decision intelligence."
• Technical Excellence: Provide technical expertise throughout the product life cycle, ensuring high quality, scalability, and efficiency in our Data & Insights team.
• Collaborative Delivery: Work across departments (Product Analytics, Engineering, LiveOps, Marketing) to ensure data solutions are integrated and driving real-world impact for our players.

What We’re Looking For

We want a creative, highly motivated individual who enjoys tackling ambiguous problems and "figuring it out" with practical, scalable solutions.

• Product Mindset: Outstanding problem-solving skills with a "user-first" mentality. You can conceptualize player behavior and determine the best metrics to measure success, even when data is messy or non-existent.
• Technical Stack: Advanced proficiency in Python and SQL. Experience with BI tools (Looker) and visualization libraries (Plotly, etc.).
• Data Engineering Savvy: Experience with data transformation at scale using dbt and Airflow.
• Production Experience: Proven track record of deploying data products to production (on GCS, AWS, or Azure) and implementing monitoring/alerting to ensure service quality.
• Scientific Rigor: Strong background in statistics, A/B testing methodology, and applying ML/AI to improve business understanding.
• Communication: Ability to translate complex methodologies into clear "so-whats" for non-technical stakeholders and business users.

Bonus Points

• Gaming Passion: A deep love for F2P mobile games and an understanding of game loops/economies.
• Specialized Knowledge: Familiarity with causal inference, Bayesian statistics, or MLOps platforms.
• Deep Learning & GenAI: Hands-on experience with LLMs, predictions using Transformers, or other Deep Learning architectures applied to behavioral data or content generation.

Scopely is seeking a highly motivated Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis! 

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.  

Playgami is building the best SaaS gaming platform ever! The team strives to create the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. 

What You’ll Do  

• We collaborate with engineers, product teams, and analysts to create self-serve insight products that are fast, accurate, and elastic at a petabyte-scale
• We work across the full data product lifecycle: designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards
• We are stewards of data quality, ensuring that metrics are consistently reported across the catalog of data products
• We work with cutting-edge tech (BigQuery, dbt, Looker)
• We look forward and back, applying tools like BQML to predict player behavior
• We empathize with our game product teams and departments to make their daily work more enjoyable and their products more successful
• We often specialize in some part of the data stack and lifecycle but always aim to contribute across the full spectrum

What We’re Looking For  

• You love solving puzzles
• You can translate needs into analytics tech
• You have experience with the modern data stack (tools like BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, and command line-based workflows) or hunger to work in that domain
• You have first-class SQL skills and 3+ years of experience in a relevant role
• You understand the importance of data modeling, like knowing your Kimballs, your star schemas
• You value business context and improvement as much as you do first-class technical solutions
• You love collaboration and take pride in working in high-functioning teams
• You enjoy working in rapidly evolving, hyper-growth environments where every change presents an opportunity for us to grow
• You love having fun at work. Ping Pong/Mario Kart skills are a plus!

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!  

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

 ⭐Our Data Science Teams:

We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

🔑You’ll play a key role by...

• Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day
• Develop and execute best practices for experimentation enabling our team to make data informed decisions
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Work closely with leaders in product, engineering, design and research to build and iterate on product ideas 

🤩 We’d love to hear from you if…

• You enjoy working with cross functional fast moving teams
• You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
• You are excited about mentoring other data scientists and analytics engineers 
• You are excited by experimentation and utilising new data techniques to solve challenging problems 
• You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
• You are opinionated about how to think about measuring success and are willing to challenge the status quo

🙌What’s in it for you:

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, ESP

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of €1,200 a year for books, training courses and conferences

🌈 The application journey has 3 key steps

Our interview process involves three main stages: 

• Initial Call 
• Technical assessment
• Final Interviews
  • Business Fit/Collaboration
  • Case Study
  • Technical Interview

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process.

One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo 

LI-BJ1

Wallapop is a Barcelona based scale-up driven by the purpose to empower people to embrace a more conscious and human way of consumption. We believe in a world where collaborative economy is mainstream. This is what drives us. 💫

Wallapop operates in Spain, Italy and Portugal, offering a catalogue of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale & trust of classifieds with the marketplace’s convenience & reach. 🌱 Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology.

The Challenge 🧩

As a Data Analyst, you will be responsible for working with large datasets to uncover trends, patterns, and correlations. You will transform data-driven insights into strategic recommendations for stakeholders at all levels, ranging from product and marketing  teams to tribe leads and company leadership. Collaborating closely with Product, Marketing, Data, and Tech teams, you will design and execute experiments, conduct quantitative research, and ensure continuous access to high-quality data and insightful visualizations.

What You Will Do 👇

• Developing metrics, key performance indicators (KPIs) and performance measurement frameworks.
• Identifying growth opportunities through data trends using  time-series analysis and predictive modeling.
• Extracting quantitative insights from data, and translating them into actionable recommendations to address knowledge gaps and drive business impact.
• Creating and managing dashboards, enabling easy data access for the stakeholders.
• Maintaining data pipelines to ensure efficient data flow and accessibility, and ensuring data quality.
• Designing, executing and interpreting A/B tests to evaluate product features or marketing strategies.
• Conducting exploratory data analysis (EDA) to understand data characteristics, user segments and market evolution.
• Contributing to high-quality documentation for metrics, analyses and data models.
• Promoting data literacy and a data-driven mindset within the team and the organization

What We’re Looking For 🔎

• Proven experience in a Data Analyst role, preferably in a fast-paced, data-driven environment.
• Expert-level proficiency in SQL and data visualization tools (e.g., Tableau, Looker, etc.).
• Knowledge of programming languages such as Python or R.
• Strong analytical skills with the ability to extract meaningful insights from complex datasets.
• Excellent communication and presentation skills, capable of conveying complex data insights to both technical and non-technical stakeholders.
• Experience in defining and implementing metrics and data models.
• Solid understanding of statistical concepts, methodologies, and their practical applications.
• Proactive and collaborative mindset, with a proven ability to work effectively across cross-functional teams.
• Passion for data and a strong commitment to data-driven decision-making.

What Would Be A Plus 🚀 

• Familiarity with Data Warehousing and ETL processes.
• Proficiency with version control systems, particularly Git.
• Basic experience in training and applying Machine Learning models and techniques
• Experience working with large datasets and cloud-based data platforms (e.g., AWS, GCP, Azure).
• Domain expertise in marketplaces or classifieds.
• Exposure to qualitative research methodologies.

Do note that all our jobs are 📍 Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone.

Additionally to the opportunity to contribute to an agile product set up and work together towards achieving our meaningful mission, we offer the following 🍭 Perks & Benefits:

• Generous individual learning budget of 2k per year
• Group and individual English, Catalan & Spanish lessons as part of our working day
• Private Health Insurance with Alan
• Flexible working hours + intensive Fridays
• Flexible remuneration to deduct from gross salary (kindergarten/food/transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Wallapop Renta (Tax income support)
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Work anniversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• Relocation package (monetary support and legal advice) and visa sponsorship, if applicable
• 26 holidays per year
• TOP hardware of your choice (latest Apple or Windows)

What does the hiring process for this position look like? 👀**Please, note that all interviews take place remotely over hangouts.**

Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.

Online test - you will be sent a coding test to assess your analytical skills. 

Case Study Submission - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise / technical skills required for the role.

Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes. 

Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.

We are currently looking for a Senior Data Engineer to join us remotely in Spain. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles.

"As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!"  (Máté Gulyás, CEO)

What will you do?

As a Senior Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. Most are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship alone or in collaboration with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by supporting our pre-sales process, mentoring more junior engineers, and contributing to hiring best-in-class data talent.

What does it take to fit the bill?

Technical Expertise

 Consulting & Client-Facing Skills

Operational Readiness & Soft Skills

• In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;

What do we offer?

You'll have the rare opportunity to join DATAPAO at a time when you can still meaningfully impact our growth trajectory and organizational success. Furthermore, as our first-ever Spain hire, you could meaningfully contribute to expanding our local presence and, eventually, establishing a physical hub in this geography.

Surely, we know everyone needs a little something to do their best work. Here is a list of some other extras we offer:  

• The chance to work remotely - as we don't have a physical office in Spain yet, we offer a fully remote setup for the time being. However, given our strong community emphasis, we'd expect you to spend one month in our Budapest hub during onboarding and visit the office for one week every quarter;

• World-class educational benefits - there’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications, you'll get dedicated time for learning during work hours, and access to our internal library; 

• Flexible PTO days - we’re flexible with how many days you take off if that does not conflict with customer success and the work getting done;

• Fully paid Medical Leave for up to 15 days per year - because when you’re unwell, we want you to focus on recovery and not worry about your paycheck;

• Comprehensive private health insurance plan via Allianz - offered via our EOR (Employer of Record) provider, Remote.com. Remote will be your official employer in Spain for the foreseeable future until we establish our own legal entity in Spain;

• Employee Assistance Program (EAP) via Allianz & Remote - life always happens! And we'd like to be there for you when it counts the most. Through EAP, we offer our employees access to psychology, financial, and legal consulting services via phone or in person;

• Top-notch working equipment - working comfortably means working well. You will get a MacBook Pro and a sign-up bonus of 500 EUR gross (to be paid with your first payroll) to set up your home office or whatever else is needed to give your best;

• The chance to make an impact in a high-transparency culture - open feedback and no politics are things we value a lot at DATAPAO. Additionally, you'll get the chance to work in the field of data & AI and shape the future of a rapidly growing tech company.

IMPORTANT NOTE: Given that we are still sorting our way in Spain, this list will likely get an update in the following months, and we're also committed to growing it with us over time.

The gross salary for this position ranges from 70.000 to 80.000 EUR/year, depending on your assessed seniority level during the selection process.

Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we’re just setting foot into Spain.