Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du skalierbare Datenmodelle, optimierst die BI-Infrastruktur und analysierst Geschäftskennzahlen, um strategische Einblicke für verschiedene Teams zu liefern.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
heyData GmbH
Die heyData GmbH ist ein in Berlin ansässiges Startup, das kleinen und mittleren Unternehmen sowie Startups hilft, sich von den Herausforderungen des Datenschutzes zu befreien, indem es automatisierte und benutzerfreundliche Tools für Compliance-Prozesse anbietet. Die Plattform vereint technologische Lösungen mit juristischer Fachkenntnis und fungiert als digitaler externer Datenschutzbeauftragter.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Data Analytics Manager
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
