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Senior Business Intelligence Lead

Confidential company · Munich · Posted Sep 2, 2026

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Public summary

We are seeking a Senior Business Intelligence Lead based in Munich to establish a unified and trusted data foundation across teams. This role focuses on defining and maintaining core business metrics in collaboration with multiple departments such as Finance, Product, Sales, and Engineering. Responsibilities include managing certified data layers, validating data via SQL, resolving metric inconsistencies, improving data literacy through workshops and documentation, and utilizing AI tools to support workflows. The ideal candidate has senior BI experience, strong SQL skills, and a business-oriented mindset, with experience in data governance and working with senior stakeholders. English fluency is required; German is a plus. The role offers collaborative work at the Munich office with a hybrid work model, comprehensive benefits, and opportunities for professional development.

Location and work setup

Location
Munich
Remote status
Hybrid
German requirement signal
No German Required Detected
Detected job language
English

Responsibilities

Define and agree on core metrics with various business units; maintain certified data layers built using ETL tools and surfaced in analytics platforms; validate and investigate data inconsistencies using SQL; collaborate with platform teams to improve data infrastructure; advise stakeholders on metrics trustworthiness; promote data literacy with practical guidance and workshops; employ AI-assisted tools to enhance analysis and workflows.

Qualifications

Senior experience in business intelligence, analytics, or related data roles, preferably within scale-up environments; strong proficiency in SQL for data validation and tracing; experience defining KPIs alongside Finance and business stakeholders; solid understanding of data models, data quality, governance, pipelines, and transformations; confident working with senior leaders to clarify data discrepancies; hands-on, pragmatic approach connecting business needs with data solutions; familiarity with automation and AI-supported workflows; fluent written and spoken English; German language skills are advantageous but not mandatory; bonus skills include experience with Metabase, dbt, AWS Glue, Spark, Airbyte, and sectors like B2B SaaS or EV charging.

Skills

SQL Data Modeling Data Governance KPI Definition Data Quality Data Pipelines Stakeholder Management Automation AI-assisted Tools Workshop Facilitation Data Literacy