Senior Product Data Analyst

The Hub/Danske Bank; København; On-site; DKK 598,000 - 822,000; Full time

Benefits offered by this job

Hybrid work policy

Modern office spaces

International environment

Mobility across locations

Job summary

Shine is seeking a Senior Product Data Analyst to lead the strategy for the Banking domain, the technical and financial heart of Shine’s value proposition. You will partner with Banking Product Managers to size opportunities for new features and validate hypotheses through end-to-end experimentation.

You will work with a modern data stack including Snowflake, dbt, Python, and Omni, supported by a dedicated Analytics Engineering team.

Qualifications

• 5+ years in Data Analytics in a fast-paced, product-driven environment.
• Expert-level SQL and solid experience with DBT (modeling, testing, and documentation).
• Product mindset with a focus on user value and business outcomes.
• Domain experience in Banking, FinTech, or regulated environments is valued.
• Excellent communication to translate analytics to non-technical stakeholders.

Responsibilities

• Strategic Partnership: Partner with Banking Product Managers to define North Star KPIs and influence the long-term roadmap.
• Deep-Dive Analysis: Lead analyses on user activation, transaction velocity, retention and feature adoption.
• Data Governance: Own analytical datasets and core Banking KPIs, ensuring reliability and clear documentation.
• Enablement: Build actionable dashboards and mentor junior analysts to foster data culture.
• Best Practices: Contribute to analytics standards, from SQL styling to peer-review processes.

Skills

SQL

DBT

Python

Data Analytics

Tools

Snowflake

Omni

dbt (modeling)

Job description

About Shine

Shine is the financial copilot for entrepreneurs and small business owners.

Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech unicorn on a mission to restore the joy of running a business, by ending wasted time on financial admin. Shine offers a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing, meaning business owners can focus their energy on growing a healthy business, not held back by manual admin.

Part of something bigger

Today we're part of Cegid, a European leader in cloud software for finance and accounting. Together we're building Europe's leading financial copilot for small businesses and their accountants. Shine already supports more than 400,000 small businesses. As part of Cegid, we now reach over one million small businesses and 15,000 accountants across Europe. We're a multicultural team working from France, Germany, Denmark and the Netherlands, contributing to a wider European network that spans Spain, Portugal and Belgium.

Your hiring experience matters

Just as we respect our customers' time, we respect yours. Your experience with Shine and Cegid should feel simple, transparent and genuinely supportive. If this sounds like somewhere you want to grow, we'd love to hear from you.

Data at Shine

Our Data team is organised into three complementary pillars: Data Engineering, Analytics Engineering, and Product/Revenue Analytics. This structure ensures you spend less time fixing broken pipelines and more time uncovering high-value growth levers.

The Product Analytics team partners closely with Product to drive discovery, experimentation, and measurable impact. We are now looking for a Senior Product Data Analyst to lead the strategy for our Banking domain—the technical and financial heart of Shine’s value proposition.

What's in it for you?

• Strategic Discovery: You will lead "Phase 0" of the product lifecycle, sizing opportunities for new banking features and identifying friction points in the user journey before a single line of code is written.
• End-to-End Experimentation: From power-calculating sample sizes to interpreting complex A/B test results, you own the validation of our product hypotheses.
• High-Stakes Influence: You will translate “Data-speak” into “Business-speak,” presenting findings directly to Product Leads and the Head of Product Analytics to help the company pivot or persevere on key initiatives.
• A Mature Stack: Work with a best-in-class modern data stack including Snowflake, dbt, Python, and Omni, supported by a dedicated Analytics Engineering team.
• A hybrid work policy: Enjoy a balanced mix of remote work and office collaboration.
• Modern, centrally located offices: Work from modern office spaces in prime city locations.
• An international environment: Join a diverse team with colleagues from across the globe.
• Mobility across locations: Opportunity to work from our offices in Copenhagen, Paris, Amsterdam, or Berlin.

Your Responsibilities

• Strategic Partnership: Partner directly with Banking Product Managers to define North Star KPIs and influence the long-term roadmap.
• Deep-Dive Analysis: Lead sophisticated analyses on user activation, transaction velocity, retention and feature adoption within the banking ecosystem.
• Data Governance: Own and continuously improve analytical datasets and core Banking KPIs, ensuring reliability, scalability and clear documentation.
• Enablement: Build actionable, self-service dashboards and mentor junior analysts to foster a high-performance data culture.
• Best Practices: Contribute to evolving our internal analytics standards, from SQL styling to peer-review processes.

Job located in Berlin, Madrid or Copenhagen with the possibility of two remote working days per week.

About You

• Experience: 5+ years in Data Analytics, with a proven track record in a fast-paced, product-driven environment.
• Technical Excellence: Expert-level SQL and solid experience with DBT (modeling, testing, and documentation).
• Product Mindset: You think in terms of user value and business outcomes, not just "queries completed."
• Domain Expertise: Prior experience in Banking, FinTech, or regulated environments is highly valued.
• Communication: Ability to turn complex, ambiguous problems into clear, actionable recommendations for non-technical stakeholders.
• Language: Fluent in English; excited to work in a diverse, international setting.

Our Recruitment Process

Screening Call: Initial screening call with a TA-partner

Technical Call (60'): Discussion with your potential lead, to dive deeper into your experience

Case Study Presentation (60'): Evaluation of your methodology, problem-structuring, and impact mindset.

Logical & Personality Assessment (30–45'): Followed by meeting a few team members + Discussion with the VP of Data & Analytics regarding collaboration and strategic vision.