Head of Analytics

Adevinta; Berlin; Vor Ort; EUR 100.000 - 130.000; Vollzeit

Zusammenfassung

A leading digital mobility company in Berlin seeks an Analytics Leader to shape the analytics vision and build a data ecosystem for strategic decisions. Responsibilities include defining KPIs, expanding data infrastructure, and mentoring teams. The ideal candidate has 10+ years' experience in analytics, proven leadership in tech environments, and strong technical skills in SQL and Python. This role offers impactful opportunities in an investor-backed context.

Qualifikationen

• 10+ years in Analytics, BI, or Data Science, including 4+ years of senior leadership.
• Proven experience leading functions in PE-backed transformations.
• Hands-on experience with modern data architectures.

Aufgaben

• Define and drive analytics roadmap and KPIs.
• Expand and refine data infrastructure for consistency.
• Establish a single source of truth for business metrics.

Kenntnisse

Strategic thinking

Technical and analytical skills

Collaboration

Data-driven thinking

Tools

SQL

Python

Snowflake

BigQuery

Looker

Tableau

Power BI

Jobbeschreibung

About the Role We’re looking for a forward-thinking analytics leader to turn data into a competitive edge in the new era of digital mobility. You’ll shape our analytics vision, translate business strategy into measurable outcomes, and build a data ecosystem that powers smarter, faster decisions through a period of transformation and increased investor visibility. The role will be in direct contact with our CFO AND CPO and reporting to our Director of Data and Analytics.

What You’ll Do

• Set the Direction: Define and drive our analytics roadmap — from core KPIs and financial modeling to predictive insights that steer growth and efficiency in a PE‑backed environment
• Build the Foundation: Expand and refine our data infrastructure, ensuring clean, consistent, and connected information across all systems.
• Own the Truth: Establish a single source of truth for business metrics, with transparency, governance, and investor‑ and audit‑readiness at its core
• Empower the Team: Grow and mentor a cross‑functional analytics crew — fostering curiosity, precision, and data‑driven thinking company‑wide.
• Partner to Impact: Collaborate with Product, Marketing, Operations, and Finance to turn insights into action and tell the data story behind every key decision — from operational performance to board‑level reporting.

Who You Are

• A strategic thinker who loves turning numbers into narratives and impact
• Experienced in scaling analytics functions within tech‑driven environments and strong hands‑on technical & analytical skills
• Comfortable operating in investor‑backed or PE‑owned settings, navigating complex reporting requirements and strategic transitions
• Passionate about data quality, collaboration, and enabling teams to move with confidence

What We’re Looking For

• Leadership & Experience
  • 10+ years in Analytics, BI, or Data Science, including 4+ years of proven senior leadership in high‑growth tech environments.
  • A balance of strategic vision and hands‑on ability (e.g., SQL, Python) — leading by both example and direction.
  • Proven experience leading analytics functions in PE‑backed or investor‑led transformations, with exposure to board reporting, financial steering, and performance transparency
  • Proven track record of scaling analytics functions through critical growth phases such as funding, expansion, and organizational separation or transformation events
• Metrics & Business Fluency
  • Deep understanding of core marketplace and growth metrics — unit economics, funnel performance, cohorts, CAC/LTV, retention, churn, and contribution margin.
  • Strong ability to connect operational KPIs with financial outcomes and ensure alignment across P&L and balance sheet impacts.
  • Experience designing investor dashboards, management reporting packs, and value creation metrics for PE or institutional investors is a strong plus
  • Experience with digital business models (marketplace, subscription, or platform‑based) is a strong plus.
• Technical Expertise
  • Hands‑on experience designing, scaling & working with modern data architectures (Snowflake, BigQuery, Redshift, dbt, orchestration frameworks).
  • Skilled in building metric frameworks, event schemas, and BI environments (Looker, Tableau, Power BI, Metabase).
  • Solid foundation in data quality, lineage, testing, versioning, and monitoring best practices.
• Strategic & Communicative
  • Able to plan ahead (12–24 months), balancing scale, risk, and resource investment.
  • Comfortable translating complex analytics into simple, powerful narratives for executives, boards, and external stakeholders.
  • Confident in defending methodologies, assumptions, and insights under scrutiny.