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heyData GmbH logo

Team Lead Data Analytics (all genders)

heyData GmbH
Posted May 28, 2026, 9:23 AM UTC
🇩🇪Germany🏢Hybrid📁Data & Analytics
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Team Lead Data Analytics (all genders) Lead our Data Analytics team to turn data into impactful business insights. Build scalable analytics solutions, shape data strategy, and empower teams with reliable metrics to drive smarter decisions Apply Now We usually respond within a week 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? Then, heyData is your next stop! As a Team Lead Data Analytics, you will play a crucial role in managing our data infrastructure, developing scalable data models, and providing actionable insights to teams across the company. You'll ensure data-driven decision-making and foster a data-first culture. Your Mission 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. Cross-Team Collaboration : Work closely with engineering, product, marketing, and sales teams to understand data needs and support data-driven decision-making. 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. Your Profile D emonstrate 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. Communicate Data Effectively : Excellent communication skills with the ability to clearly present complex data and insights to non-technical stakeholders. 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. Thrive in Fast-Paced Environments : Experience working in a startup or fast-paced environment with rapidly evolving priorities. 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. Utilize Analytics Engineering Tools : Experience working with dbt for data transformation and analytics engineering workflows is a Plus Why heyData 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. About heydata 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 At heyData, we're proud to be a vibrant and diverse startup. We celebrate and embrace people from all backgrounds, including diverse gender, age, sexuality, religion, ethnicity, disability status parental status, and more to apply to our roles. Our team thrives on the unique perspectives and experiences that each person brings. We're committed to fostering an inclusive and supportive environment where everyone can succeed. The more diverse and inclusive we are as a team, the greater our work will be. Department Data Analytics Role Business Intelligence Team Lead Locations Berlin Remote status Hybrid

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