Data Analyst @ Getsafe
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About Getsafe
Getsafe guides people to make smart life choices with personalized digital insurance. We reinvent insurance from the ground up with our tech platform and a single app that unites property, life, and health coverage in one seamless experience.
What We're Looking For
Getsafe is seeking a self-driven, curious, and responsible team player with a background in data analytics for marketing or CRM. As a Data Analyst, you'll fuel our growth strategy with actionable, data-driven insights.
Your Mission
- Provide descriptive analytics, actionable insights, and forecasting for marketing, CRM, and sales.
- Evolve methodologies around KPIs such as ROI, CAC, CLTV, and CAC Payback time.
- Define customer segments and drive insights for performance marketing and CRM.
- Develop and standardize utm-based tracking and manage events dataflow.
- Own growth-related analytics initiatives, A/B testing, and data quality assurance.
- Deliver dashboards, reports, and data products to influence decision making.
About You
- Hands-on, entrepreneurial mindset with a go-getter attitude.
- Proficient in SQL (Snowflake) and data visualization tools (ThoughtSpot or equivalent).
- Knowledge of Python and DBT is advantageous.
- Strong analytical skills with attention to detail.
- Fluent in English; German skills are a plus.
Getsafe Principles & Benefits
We believe in Customer Empathy, Absolute Ownership, a Day One Mindset, and strong team collaboration. Enjoy hybrid work flexibility from Berlin or Heidelberg, partake in our Employee Stock Ownership Program (VSOPs), and benefit from regular team events, flexible monetary benefits, and excellent work-life balance.
Key Skills/Competency
- Data Analytics
- SQL
- CRM
- Marketing Analytics
- Data Visualization
- Forecasting
- Python
- DBT
- A/B Testing
- Dashboarding
How to Get Hired at Getsafe
🎯 Tips for Getting Hired
- Research Getsafe's culture: Study their mission, values, and recent news.
- Customize your resume: Emphasize your data analytics and SQL expertise.
- Highlight relevant projects: Showcase marketing or CRM analytics successes.
- Prepare for technical interviews: Focus on SQL, data visualization, and forecasting.