Senior Business Analyst

Crosscut; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Flexible office policy

Diverse and inclusive work environment

Zusammenfassung

Crosscut is seeking a Senior Business Analyst to establish a Business & Commercial Analytics function in Germany. This pivotal role focuses on analyzing customer behaviors, driving commercial performance, and engaging with senior leaders to guide strategic business decisions.

The ideal candidate has over 3 years of experience in analytics, strong SQL skills, and the ability to communicate complex data insights in German and English. Enjoy a flexible work environment with three days in the office and two days remote.

Qualifikationen

• Strong technical skills with commercial curiosity.
• Ability to influence decisions through data.
• Excellent communication in both German and English.

Aufgaben

• Develop customer behavior insights across web and mobile.
• Lead pricing and profitability analysis.
• Build retention models and customer forecasts.
• Define measurement frameworks for Omaze Germany.
• Support planning for marketing investment and strategy.

Kenntnisse

Business Analytics

Commercial Analytics

Retention Analytics

Causal Inference

Advanced SQL

Python or R

Communication Skills

Ausbildung

3+ years' experience in Business or Commercial Analytics

Tools

Databricks

Snowflake

BigQuery

AI-assisted tools

Jobbeschreibung

Omaze is reinventing fundraising by offering people the chance to win once-in-a-lifetime prizes while raising millions for charities around the world. Since launching in the UK in 2020, we've become one of the fastest-growing companies in the country and now, we’re scaling our impact across Europe.

We launched in Germany in June 2025 with ambitious growth goals and a clear mission: raise significant funds for local charities while delivering unforgettable experiences to our customers. In the UK alone, we've raised nearly £100 million for charity, and created over 40 new millionaires.

Now, we’re building a standout team in Germany – and we need your help to do it.

omaze.de

About The Job

This is a cornerstone hire for a brand-new Business & Commercial Analytics function. As a Senior Business Analyst at Omaze, you will be a key member of Omaze’s lean data function. Reporting into the VP, Head of Data and Analytics, you'll be the analytical engine behind how Omaze understands and grows its commercial performance owning day-to-day business and commercial analytics across Omaze’s German business, supporting prizing, marketing, and growth. You will work hands‑on every day, partnering directly with senior leaders across our German and UK teams, creating a unified 360‑degree view of our customers, interrogating subscription and pay‑as‑you‑go (PAYG) behaviour, and turning complex data into clear, confident commercial decisions.

You will also set the bar, the methods we trust, the metrics we agree on, and the pitfalls we never repeat. Turning cohort retention curves and survival models into clear views on which behaviours, segments and journeys drive durable value will be your day‑to‑day, and building advanced behavioural segmentation that the company can act on is how you will drive significant value across the company. It's a high‑visibility role with ownership and freedom to shape how commercial analytics is done at Omaze in Germany.

What You’ll Be Doing

Own Customer Analytics Across Germany

• Develop a comprehensive view of customer behaviour across web and mobile experiences.
• Define lifecycle stages, customer segments, and key LTV drivers across both subscription and pay‑as‑you‑go customers.
• Build a deeper understanding of what drives acquisition, engagement, retention, and long‑term value.

Drive Commercial Performance

• Lead pricing, margin, contribution, and profitability analysis.
• Identify commercial opportunities through customer, product, and cohort analysis.
• Support decision‑making with clear recommendations grounded in data.

Lead Retention & Lifecycle Analytics

• Build retention models, churn diagnostics, survival analyses, and customer forecasting models.
• Identify drivers of retention and develop actionable strategies to improve customer lifetime value.
• Analyse dormant user behaviour and reactivation opportunities.

Improve Measurement & Experimentation

• Help define and evolve Omaze Germany's measurement framework and key performance metrics.
• Apply advanced causal inference techniques when traditional A/B testing isn't possible, including:
  • Difference-in-differences
  • Synthetic controls
  • Propensity modelling
  • Instrumental variables
  • Geo‑based experiments

Forecast & Influence Strategic Decisions

• Build revenue forecasts, scenario models, and opportunity‑sizing frameworks.
• Support planning across draw cycles, marketing investment, and commercial strategy.
• Bring data‑driven insight into prioritisation discussions with senior stakeholders.

Champion Analytics Excellence

• Ensure robust tracking and instrumentation across customer journeys.
• Conduct proactive deep‑dives and root‑cause analyses to identify risks and opportunities.
• Help establish best practices, analytical standards, and a culture of evidence‑based decision‑making across the business.

About You

We're looking for someone who combines strong technical skills with commercial curiosity and the ability to influence decisions through data.

You’ll likely bring:

You’ll Likely Bring

• 3+ years' experience in Business Analytics, Commercial Analytics, Revenue Analytics, Trading Analytics, or a similar role within a fast‑paced consumer, subscription, marketplace, gaming, e‑commerce, or commercial‑finance environment.
• Proven experience analysing commercial performance, revenue drivers, pricing, profitability, and customer behaviour.
• Strong expertise in retention analytics, including cohort analysis, churn modelling, survival analysis, retention forecasting, and customer lifecycle optimisation.
• Experience developing behavioural, value‑based, propensity, or clustering‑based customer segmentation strategies that have informed business decisions.
• A strong understanding of causal inference methodologies beyond traditional experimentation.
• Advanced SQL skills and experience working with modern cloud data platforms such as Databricks, Snowflake, or BigQuery.
• Strong Python and/or R skills for analysis, modelling, and reproducible workflows.
• Excellent communication skills in both German and English language, with the ability to translate complex analysis into clear and compelling recommendations for senior stakeholders.
• Experience partnering with commercial, marketing, product, engineering, and leadership teams to drive business outcomes.
• Familiarity with AI‑assisted analytical tools such as Claude Code, Cursor, Codex, or similar productivity tools.

Extra Information

Office Policy

3 days in person, 2 days at home each week

Contract Type

Permanent, full time

Language Requirements

German and English business fluent

We actively seek out diversity of thought and experience to drive innovation. We welcome all backgrounds, identities, and perspectives and work hard to ensure that every Omaze employee can bring their authentic self to work at all times.