SumUp

Financial Services

DataAnalyst

Cologne, Germany
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Analyst at SumUp. Skills: insight generation, reporting, data analysis, dashboarding, KPI definition and monitoring, stakeholder management. Own insight generation and reporting for the Consumer Bank tribe. translating business questions from Product, Finance, and Risk into clear analyses and dashboards”

What You'll Achieve.

build the data foundation that helps Product, Finance, and Risk teams make better decisions, faster; shape how we measure performance, understand our customers, and act on what the data tells us; see your insights directly influence product and business decisions; proactively surfacing trends, anomalies, and opportunities before they're asked for

Industry & Context.

Financial Services
Problems you'll solve

translating ambiguous business questions into structured analytical frameworks; asking the right questions

Eligibility Requirements

This role does not support Visa sponsorship.

What They're Looking For.

Must Have

SQL skills with hands-on experience querying, analysing, and validating data in a cloud data warehouse environment, Ability to translate ambiguous business questions into structured analytical frameworks, communicate findings clearly to both technical and non-technical audiences, Comfortable managing multiple workstreams across different stakeholder groups, with prioritisation and a proactive communication style, Curious, self-driven, and quality-focused

Nice to Have

Experience building and maintaining dashboards in BI tools such as Tableau or Looker, with a track record of delivering outputs that stakeholders actually use

What You'll Do.

Own insight generation and reporting for the Consumer Bank tribe

translating business questions from Product

and Risk into clear analyses and dashboards

and communicate core Consumer Bank KPIs

Support A/B test design

and communication of results

How You'll Work.

Team & Collaboration

dedicated analytical partner for the Consumer Bank tribe; working alongside a Senior Analytics Engineer; primary data partner for cross-functional teams; Collaborate with the Analytics Engineer to ensure data models meet analytical needs; help stakeholders access and trust data independently

Communication Scope

communicating findings clearly to both technical and non-technical audiences; proactive communication style

Process & Methodology

managing multiple workstreams, prioritisation

Full Job Description

Data Analyst – Consumer Bank About the team The Consumer Bank tribe is building the financial products that small businesses and their customers rely on — from credit and BNPL to everyday banking services. As the tribe scales, so does the need for sharp, reliable insight. That's where you come in. We're looking for a Data Analyst to become the dedicated analytical partner for the Consumer Bank tribe — working alongside a Senior Analytics Engineer to build the data foundation that helps Product, Finance, and Risk teams make better decisions, faster. This is a new role, which means you'll have real ownership from day one: shaping how we measure performance, understand our customers, and act on what the data tells us. If you're motivated by meaningful analytical work, enjoy translating complexity into clarity, and want to see your insights directly influence product and business decisions — this role is for you. 📍 Take a look at our London office What you'll do Own insight generation and reporting for the Consumer Bank tribe — translating business questions from Product, Finance, and Risk into clear analyses and dashboards using Snowflake and Tableau Define, monitor, and communicate core Consumer Bank KPIs, covering credit performance, customer behaviour, activation, and retention Act as the primary data partner for cross-functional teams — proactively surfacing trends, anomalies, and opportunities before they're asked for Support A/B test design, analysis, and communication of results to help the tribe experiment with confidence Collaborate with the Analytics Engineer to ensure data models meet analytical needs and help stakeholders access and trust data independently You'll be great for this role if… Strong SQL skills with hands-on experience querying, analysing, and validating data in a cloud data warehouse environment (Snowflake, BigQuery, or similar) Experience building and maintaining dashboards in BI tools such as Tableau or Looker, with a track record of deliv

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