Senior Data Analytics Manager (all genders)

heyData GmbH
Berlin, Germany
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Shift work
Job source

Tech stack

Adaptable Database Systems Artificial Intelligence Data Analysis Software Quality Data Governance Data Infrastructure Data Integrity Extract Transform Load (ETL) Data Transformation Data Warehousing Relational Databases Cursor (Graphical User Interface Elements)
+10 more
PostgreSQL Raw Data Power BI Software Tools SQL Databases Tableau (Software) Sql Optimization Snowflake Data Analytics Amazon Redshift

Job description

  • 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., * 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.

Requirements

Are you passionate about turning raw data into strategic insights that drive business success? Do you thrive in a fast-paced startup environment where you have the autonomy to shape and scale data infrastructure?, * 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.
  • 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.
  • Work with Business Intelligence Tools: Hands-on experience building dashboards and reports using BI tools such as Tableau, Power BI, Metabase, or similar.
  • 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.
  • 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

Benefits & conditions

Pulled from the full job description

  • Flexible schedule

About the company

At heyData, we are determined to serve our mission: making Compliance easy for everybody!

At heyData, we’re not just a company; we’re a movement. We’re reshaping the way small and medium-sized businesses embrace compliance. We set up European employees on track to reach compliance in the fastest, most intuitive, and seamless way possible. Think of us as the superheroes of compliance, and we’ve only just begun. With over one thousand customers we are one of the largest SMB compliance platforms in Europe and are expanding further.

But here’s the real kicker - you get to learn from a world-class team across Europe and contribute to a game-changing compliance solution that’s set to revolutionize millions of SMBs. So, are you ready to be part of this incredible journey and do the most exciting work of your life? Let’s make compliance history together! #heyDataLife

If the idea of making an impact excites you as much as it does us, then heyData is where you belong. This is your chance to leap into the adventure of a lifetime and set your career on fire! Reach out to us, and let’s blaze a trail together in the world of business innovation! #JoinheyData

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