Scopely is looking for a Lead Data Analyst to join our Finance 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. 

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

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.

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 🧩 

Some of the interesting things we are currently doing include finding new ways to handle complexity and improve resiliency. We leverage various AWS technologies (compute, storage, etc.) to meet our objectives. At Wallapop, as a Backend Engineer, you'll have ownership of team microservices, fully embracing the DevOps philosophy. Our tech stack includes the following:

• Kotlin & Java
• Spring Boot & Ktor
• Kafka & RabbitMQ
• MySql, DynamoDB, Redis & RedShift
• Docker
• Solr & ElasticSearch
• AWS: S3, ECS, RDS, Lambdas, CloudWatch, MSK, SES, CloudFront & more

What You Will Do 👇

• Write and maintain robust, scalable code in Java or Kotlin, depending on your team's specific stack.
• Develop new features using Domain-Driven Design (applying both tactical and strategic design principles).
• Modernize and refactor legacy components to ensure long-term system health.
• Champion software quality by implementing comprehensive testing strategies, contributing to a collaborative and reliable code review culture.

What We’re Looking For 🔎

• Demonstrated problem-solving skills and the ability to think critically about complex technical challenges.
• A quality-driven mindset with a pragmatic focus on detail and delivering value.
• Adaptability and a genuine eagerness to learn, share knowledge, and grow within a dynamic team.

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, 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.
• Technical Task - you will be assigned a test that consists of a coding challenge to assess the technical skills required for the role. You will have up to 7 days to complete it
• Expertise Interview - run by the core team, focusing on the hard skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
• Stakeholder Interview - run by the hiring team and relevant stakeholders, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.
• Culture-Add 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 🧩

Our platform generates vast amounts of data. With a mature infrastructure already in place and a growing team, the opportunities to make a tangible impact are endless. As a Data Scientist, you will improve marketplace dynamics by working on end-to-end ML solutions—from data gathering and prototyping to deployment and iteration.

As a Data Scientist in the Wallapop you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point:  Search.  You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop’s Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop.

What You Will Do👇

• Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
• Develop and implement machine learning models to solve business problems, such as personalized recommendations and search.
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Own initiatives from start to deployment:  ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration (w/ help from Engineering partners)
• Proactively suggest, research and prototype new ideas for data and ML solutions.
• Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We’re Looking For 🔍

• Experience working with Search, recommendations & Ranking models in production environments

• Problem-Solving Core: A degree in a quantitative field (Engineering, Math, Stats, Physics) or equivalent practical experience in data science.

• Software Mindset: Proficiency in Python and the ability to write clean, maintainable code for ML applications.

• Production Experience: A proven track record of building and deploying data products that solve business challenges in a production environment.

• Data Fluency: Advanced SQL skills and experience handling large datasets (knowledge of libraries like Pandas or Scikit-learn is highly valued).

• Growth Orientation: A desire to learn new technologies and an ability to adapt your technical approach to the problem at hand.

• Algorithmic Foundation: Solid understanding of Machine Learning fundamentals, specifically as they apply to personalization or recommender systems (e.g., collaborative filtering, content-based filtering, or deep learning for embeddings).

What Would Be A Plus 🚀 

• Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

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.

We sponsor visa processes for international candidates when applicable and provide legal & admin support along the process combined with a competitive relocation package.

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.

Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and 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.

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

Position Overview

We are looking to welcome yet another brilliant Senior Marketing Data Analyst into our Marketing Analytics team.

As a Senior Data Analyst, you’ll be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to evaluate marketing performance, to building data pipelines that integrate third-party sources, to creating interactive tools that empower partner teams. These are just a few examples of the initiatives you’ll help lead and deliver end-to-end, playing a key role in shaping the technical direction of our analytics efforts. The demands on this team are constantly evolving with the needs of Socialpoint’s and Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize your time efficiently.

What you'll do:

• Partner closely with marketing and cross-functional teams to identify growth opportunities, improve efficiency, and shape strategic initiatives.
• Lead analytical deep dives to surface insights and translate them into actionable recommendations for senior stakeholders.
• Visualize and communicate analytical findings clearly, enabling data-driven decision-making across the organization.
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives.
• Proactively explore and prototype opportunities using AI-driven automation to streamline investigations and improve decision-making.

What You Bring: 

• Demonstrated experience with some or all of the following: predictive modeling, statistics, experimental design, optimization, data visualization
• Understanding of marketing metrics and KPIs, with experience in campaign optimization, Lifetime Value (LTV) modeling, and incrementality analysis
• Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow
• Strong analytical and problem-solving skills with the ability to translate ambiguous questions into data-driven insights
• Strong communication skills — you can explain complex data in simple, actionable terms
• Familiarity with AI/ML concepts or experience in automating recurring analytics workflows is a plus
• A team player, you establish effective relationships to work with others for the win
• Proven work experience in data analytics or data science roles 
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred

What's in it for you as a Socialpointer?

• Hybrid working model: we ask you to come to our Barcelona office at least 2 days per week
• A generous 25 days of annual leave, plus public holidays
• Private medical insurance for you and your family to keep your health bar full
• Disability and life insurance
• Choose from the latest iOS or Android device when you join (phone or tablet)
• Free language lessons in English, Spanish and Catalan
• Spotify Premium to add the perfect soundtrack to your adventure
• Legendary social events and parties to let off some steam
• Take-Two Interactive employee stock purchase plan (eligibility criteria applies)
• Professional development budget for skills training

Onsite perks include:

• State of the art gym facilities
• Free breakfast, lunch, and specialty coffee
• Onsite physiotherapist and hairdresser (no wallet needed!)

The list goes on and on… so get your game on and apply now! Click “Apply” to level up and submit your application in English.

We are a global technology consulting company specializing in IT solutions, cloud-based platforms, data engineering services, and end-to-end project delivery support. With over 14 years of experience and a multicultural team of more than 100 professionals, we deliver projects for highly complex industries, including pharmaceuticals, diagnostics, healthcare, and consumer goods.

At our company, we value international talent, diversity, flexibility, and a collaborative environment that fosters both professional growth and personal well-being.

🧠 What You’ll Do

This role is part of an ongoing initiative within the pharmaceutical diagnostics sector, focused on the evolution of large-scale AWS-based medical data platforms used to process and store critical healthcare data such as blood glucose measurements and diagnostic test results (e.g. blood analyses and biopsies). The work directly contributes to improving healthcare outcomes and patient diagnosis.

As a Technical Project Manager, you will ensure coordination, alignment, and delivery across multiple engineering teams working on these platforms. You will act as a key driver of planning, execution, and release readiness, ensuring priorities are aligned with product goals and sprint objectives.

Your main responsibilities will include:

• Coordinate delivery across multiple engineering teams working on AWS-based data platforms
• Ensure alignment of scope, priorities, and sprint/release planning with Product objectives
• Track delivery progress, risks, dependencies, and blockers across teams
• Facilitate Agile ceremonies and support the smooth execution of delivery processes
• Maintain dashboards and Jira tracking to ensure visibility of delivery health and progress
• Support release readiness, technical coordination, and operational efficiency
• Contribute to documentation and compliance-related deliverables when required

✅ What We’re Looking For

• 5–7 years of experience as a Technical Project Manager, Engineering Manager, or similar role
• Strong background in software engineering or data platforms
• Experience with AWS-based environments (e.g., S3, Redshift, Glue, CloudWatch, SageMaker)
• Solid understanding of Agile methodologies (Scrum, Kanban; SAFe is a plus)
• Experience managing releases, dependencies, and cross-team delivery
• Strong stakeholder management skills across technical and business teams
• Experience using Jira, Confluence, or similar tools
• Communication: Excellent oral and written English; ability to communicate with technical and non-technical stakeholders.

💜 Why You’ll Love Working at Nuvolar

• People-First Culture focused on collaboration and growth
• 100% remote work, based in Spain, with occasional (non-mandatory) visits to Sant Cugat or client sites
• Continuous learning with training, mentorship, and development budget
• Health and wellness benefits, including private health insurance and gym subsidy
• Strong team culture with events and knowledge-sharing activities

👥 The Hiring Process

We like to keep things simple and transparent:

1. HR Interview – A friendly conversation to understand your background and career aspirations.
2. Practical Exercise – A short case to assess your approach to project delivery and problem-solving
3. Technical Interview – Deep dive into your technical background and project experience.

🚀 Join a team where trust, growth, and purpose go hand in hand. Apply now and let’s build meaningful tech — together, from anywhere.

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Equal Opportunity Statement
Nuvolar Works is an equal-opportunity employer. We welcome and encourage applications from all backgrounds. We do not discriminate based on age, sex, gender, gender identity or expression, sexual orientation, family or marital status, disability, national origin, race, ethnicity, religion, or any other protected characteristic. Candidates with disabilities are encouraged to apply, and we are committed to providing an inclusive and accessible recruitment process. If you require any adjustments during the hiring process, please let us know.