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

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!

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