Senior Data Analyst (m/f/d)

Alecto GmbH

Alecto GmbH is a forward-thinking company committed to reshaping the insurance landscape with their B2B2C SaaS platform. As a Senior Data Analyst, one will play a critical role in cultivating a robust data culture and offering insights that drive strategy and decision-making across business functions. This position requires seamless interfacing between business and data, contributing significantly to strategic company initiatives.

In this role you can expect to have the responsibilities:

• Define and shape the business's information goals alongside stakeholders.
• Deliver appropriate reports and analyses using tailored tools and technologies.
• Identify and integrate data sources, partnering with Data Engineers to create sustainable analytics solutions.
• Co-own and enhance data models to ensure they align with business needs and scalability.
• Lead legacy data migrations while maintaining integrity and efficiency.
• Optimize and improve the tech stack for analytics processes.
• Collaborate closely with stakeholders to refine data-driven priorities.
• Shape the company’s data strategy with leadership.
• Champion and contribute to the organization’s data culture.
• Provide expert insights to stakeholders for decision-making and success tracking.

This role comes with the following benefits:

• 100% Remote work in Germany or on-site in Berlin, or a hybrid setup.
• Flexible, family-friendly working hours.
• Office in Berlin-Kreuzberg with startup amenities.
• Generous personal development budget.
• Legendary team events and parties.
• Language classes.
• Urban Sports membership subsidy.
• Unlimited mental health support via OpenUp.
• Diverse and international team.
• People-focused management.

This role requires you to have:

• 5+ years of experience in business intelligence and data analytics.
• Proven track record of building reports and conducting analysis with tools like Tableau.
• Strong SQL expertise with relational databases, including PostgreSQL, ANSI SQL, and Snowflake.
• Ability to architect reporting frameworks that are systematic and scalable.
• Excellent communication skills for conveying insights effectively.
• Experience with Domain-Driven Design and data modeling fundamentals.
• Self-sufficient in adopting new technologies and integrating diverse data sources.
• Fluent in English (C1 or higher).

You would benefit from having:

• Knowledge of third-party data sources and tools like Google Analytics.
• Experience in fields like Data Science and Data Engineering, with skills in Python, MATLAB, R, and Machine Learning.
• Bonus points for query optimization and big-data querying experience.

Friendsurance is committed to diversity and inclusion, actively encouraging members of marginalized communities to apply. They do not require applicants to provide photos or personal information related to gender, marital status, etc.