Senior Data Analyst (Fintech)

Location: Berlin or Madrid, with two remote working days per week

Company

hirify.global is a European fintech company providing invoicing, accounting, payroll, business accounts, payments, and financing tools for entrepreneurs and small businesses as part of Cegid.

What you will do

• Define and govern core business KPIs covering revenue, churn, activation, retention, payback, LTV, and customer quality.
• Build steering dashboards for Business Unit Managers and Country General Managers across Germany and Spain.
• Develop scalable SQL and dbt data models for recurring and ad-hoc marketing analytics.
• Analyse acquisition funnels, customer lifecycle stages, paid and organic marketing performance, and conversion bottlenecks.
• Lead analytical projects and communicate actionable recommendations to Marketing, Revenue, Product, Finance, and Customer Success stakeholders.
• Support the design and interpretation of A/B tests, landing-page tests, lifecycle tests, and channel experiments.

Requirements

• 5+ years of experience in Data Analytics, Marketing Analytics, Growth Analytics, or Revenue Analytics.
• Expert-level SQL and solid experience with dbt, including modelling, testing, and documentation.
• Strong knowledge of revenue metrics such as MRR, churn, LTV, CAC, and payback, as well as funnel and lifecycle analytics.
• Experience with forecasting, LTV modelling, funnel analysis, and operational KPI frameworks.
• Ability to turn complex analytical problems into clear recommendations for senior non-technical stakeholders.
• Fluent English required; German is strongly preferred for the German market scope.

Nice to have

• Experience in SaaS, fintech, subscription, marketplace, or digital product environments.
• Spanish language skills for the Spain market scope.
• Experience with Amplitude, Mixpanel, Salesforce, HubSpot, Braze, Hightouch, Census, Google Ads, Meta Ads, LinkedIn Ads, or similar tools.

Culture & Benefits

• Hybrid work policy combining remote work and office collaboration.
• Modern centrally located offices in Berlin and Madrid, with mobility across offices in Madrid, Copenhagen, Paris, Amsterdam, and Berlin.
• International, multicultural environment with colleagues across Europe.
• Dedicated Analytics Engineering support and a modern data stack including Snowflake, dbt, Python, and Omni.

Hiring process

• Initial screening call with a Talent Acquisition partner.
• 60-minute technical call with the Head of Data Analytics.
• 75-minute case study presentation and technical SQL assessment, followed by a 30-minute team meeting.