Data Analytics Manager – Remote-First
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🚀 Be part of a movement to change the way Europe pays
In today’s digital world, payments often still feel outdated: random delays and confusing rules make it harder than it should be to pay and get paid. The European Payments Initiative (EPI) is here to change all that, forever.
With Wero, our digital wallet, we make sending and receiving money simple, seamless and secure across France, Belgium and Germany, with more countries and omnichannel solutions coming soon. Supported by 16 major banks and the two largest European acquirers, EPI is building a new, proudly European payment system: easy, instant and transparent, all for the greater good.
🔎 What's in it for you
Shape the future of data in a collaborative, high-calibre team that values your voice, empowers your autonomy, and champions innovation over red tape. Here, you’ll own your roadmap, influence key decisions, and see your ideas come to life in a supportive, forward-thinking environment.
🐝 About the team
You’ll be part of a Pan-European Product and Engineering team that operates in an Agile environment. You’ll work closely, but fully remotely, with experts in Web Dev, Mobile Dev, Backend Dev, QA and DevOps from Germany, France, the Netherlands, Poland, and other European locations.
The sub-team you’ll be joining is made up of two Data Engineers, one Analytics Engineer, one Data Analyst, and one Backend Engineer. Finally, you will be reporting to the Head of Engineering.
💥 Your impact
Own and drive the Data Team strategy
Design, communicate and execute a clear data strategy aligned with EPI’s goals
Develop, update and own the data product roadmap
Advocate for a decentralized data vision (e.g. Data Mesh–inspired approaches) and educate the organisation on what this means in practice
Influence direction and outcomes without relying on formal authority, using persuasion, alignment and impact‑driven storytelling
Lead hands‑on delivery
Stay close to the work of data engineers and analysts to ensure high‑quality, pragmatic solutions
Act as a bridge between technical implementation, product thinking and business needs
Challenge assumptions and guide technical decisions without micromanaging execution
Drive project and delivery management
Plan and prioritise the team’s work based on capacity, impact and strategic value
Structure day‑to‑day work to ensure predictable delivery while protecting focus time
Manage ad hoc requests in a sustainable way and balance short‑term needs with long‑term goals
Shape stakeholder collaboration and requirements
Serve as the main interface between the Data Team and multiple stakeholders across the organisation
Set clear boundaries and collaboration models to avoid unstructured, disruptive requests
Help stakeholders clarify their needs and translate them into actionable, well‑defined data and product requirements
Lead people and enable the team
Build trust, psychological safety and strong collaboration within a highly technical team
Lead an introverted or specialist‑heavy team with empathy and proactive communication
Increase the visibility, impact and perceived value of the Data Team across EPI
Ensure governance, quality and responsible data use
Provide strategic guidance on data governance, GDPR, compliance and responsible data practices
Ensure data products (e.g. dashboards) are reliable, meaningful and aligned with business objectives
💻 Technology stack
Primary: DBT, Databricks, Tableau, AWS Kinesis, GitHub
Secondary: Kafka, Terraform, MongoDB, Event‑sourcing patterns
🕵🏻♀️ To succeed, you should meet at least 70% of these requirements
+8 years of experience in data, analytics or data product leadership, ideally having grown from an individual‑contributor role
Strong strategic thinking and execution skills, with a track record of turning strategy into tangible outcomes
Solid project and delivery management experience, including prioritisation, capacity planning and handling ad hoc requests
Strong stakeholder management skills, including setting boundaries and structuring collaboration
Hands‑on understanding of how data engineering and analytics teams work in practice
High technical literacy in data and analytics, including:
Data architecture and pipelines
Analytical engineering and modern analytics workflows
Data quality practices and technical documentation
Core data products (e.g. P2P, e‑commerce or similar domains)
People leadership experience with a focus on trust, psychological safety and team enablement
Working understanding of Databricks dashboards, including creation, iteration and maintenance
Fluent in English (CEFR C1 or C2); proficiency in German, Dutch, French or other European languages is a plus
Excellent communication skills, able to translate between technical and non‑technical audiences
Experience in FinTech or a highly regulated, data‑driven environment
Exposure to data governance, GDPR, compliance and responsible data practices
Practical experience with Data Mesh or similar decentralized data approaches
Previous experience acting as Product Manager or Product Owner for data products
Background in organisations with complex stakeholder landscapes and scaling challenges
🪜 If this looks like you, the recruitment steps are:
A first call with one of our recruiters
An interview focused on the mission and your expertise
Possibly, a business case or a tech assessment
An interview focused on our company skills
Hopefully, an offer you can’t refuse
⛔ Turn back if …
You prefer a purely individual‑contributor role and are not interested in leading a team and roadmap
You’re looking for an environment with no ambiguity and don’t want to shape processes or ways of working
You’re uncomfortable pushing back on stakeholders, setting clear boundaries and making trade‑offs visible
Otherwise apply!
🫶 Our commitment to equal employment opportunities
EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.
- Locations
- Remote-First in Belgium, Remote-First in France, Remote-First in Germany, Remote-First in Spain
- Remote status
- Fully Remote