Data & Analytics Manager
Posted 13 Oct 2026
Advertised as “Data & Analytics Manager (f/m/x)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.
We are looking for a Data & Analytics Manager to lead an international BI and Data Analytics team across EMEA. This hands-on role combines people management, technical leadership, stakeholder management, and end-to-end data project delivery.
You will translate business priorities into execution plans, guide technical decisions, unblock the team, and deliver reliable data products for BI, self-service analytics, and AI-enabled use cases.
What you'll do
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Lead, coach, and develop an international BI and Data Analytics team.
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Build a motivating, accountable, and change-oriented team environment.
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Model clean, documented datasets in dbt, from staging through to marts.
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Own tests, documentation, metric definitions, data contracts, and version control workflows.
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Develop a semantic layer with governed metrics and dimensions.
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Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics.
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Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth.
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Support data migration, ELT pipelines, and data platform consolidation.
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Optimize Snowflake performance, data freshness, and data quality.
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Own and continuously improve the processes that keep our data platform reliable.
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Use Python for data checks, automation, and utilities.
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Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions.