Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data models, optimize BI infrastructure, and analyze business metrics to deliver strategic insights for various teams.
Job Technologies
Your role in the team
- Manage & Optimize BI Infrastructure: Own and maintain our end-to-end BI setup, which currently includes Airbyte, dbt, Snowflake, and Metabase. Continuously evaluate and implement the best tools to meet our evolving needs.
- Develop Scalable Data Models: Build and maintain reliable, scalable data models that ensure data integrity and accuracy across all business functions.
- Drive Strategic Insights: Analyze business performance metrics, identify trends, and provide actionable recommendations to leadership and various teams.
- Understand B2B SaaS Metrics: Strong grasp of core B2B business metrics such as MRR, ARR, churn, LTV, and CAC, with the ability to translate these into actionable reporting and insights for the business.
- Partner Across Teams: Work closely with leadership, Finance, and RevOps to bring clarity to core B2B SaaS metrics - including MRR, ARR, churn, LTV, and CAC.
- Mentorship & Alignment: Manage and upskill junior team members and ensure that data strategies align with the company's vision and goals.
- Ensure Data Governance: Implement and uphold data governance policies and industry best practices to maintain compliance and security.
- Leverage AI-Augmented Analytics Workflows: Apply AI coding tools to accelerate development, improve code quality, and establish best practices for AI-assisted analytics across the team.
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Our expectations of you
Qualifications
- Adopt AI-Assisted Development Tools: Familiarity with AI-assisted development tools (e.g., Codex, Claude Code, Cursor, or similar) and an interest in integrating them into modern analytics engineering workflows.
- Apply Data Modeling Best Practices: Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Deliver Analytical Insights: Strong analytical and problem-solving skills with the ability to translate complex data into meaningful business insights.
- Communicate Data Effectively: Excellent communication skills with the ability to clearly present complex data and insights to non-technical stakeholders.
Experience
- Demonstrate Strong Analytics Experience: 5+ years of experience in Business Intelligence, Data Analytics, or a related field.
- Exhibit Advanced SQL Expertise: Strong proficiency in SQL and experience working with relational databases such as PostgreSQL, Snowflake, Redshift, or similar.
- Work with Business Intelligence Tools: Hands-on experience building dashboards and reports using BI tools such as Tableau, Power BI, Metabase, or similar.
- Thrive in Fast-Paced Environments: Experience working in a startup or fast-paced environment with rapidly evolving priorities.
- Utilize Analytics Engineering Tools: Experience working with dbt for data transformation and analytics engineering workflows is a Plus
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What we offer
- Your growth matters: High ownership, direct impact on growth, and clear development opportunities, an annual training budget, and genuine trust in your ideas.
- Work the way that suits you: Remote, in our Berlin office, or hybrid - you decide where you're most productive.
- Time for yourself: 30 vacation days, flexible working hours, and a work culture that respects focus time and supports personal productivity.
- Top equipment: MacBook & more to help you get started smoothly.
- Additional perks: Urban Sports Club membership, Germany Ticket, company pension plan, and other benefits.
- A team spirit that stays with you: An international tech team with a clear path to scale, short decision paths, and real support to execute, and honest, transparent communication at eye level.
- Be yourself: Diversity makes us better - no matter where you come from, how you identify, or where you are in life.
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Topics You Will Work On
Job Locations
About Your Employer
heyData GmbH
heyData GmbH is a Berlin-based startup that helps small and medium-sized enterprises, as well as startups, free themselves from the challenges of data protection by providing automated and user-friendly tools for compliance processes. The platform combines technological solutions with legal expertise and acts as a digital external data protection officer.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Analytics Manager
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
