Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data & Analytics Manager (f/m/x) role.
Rezi rewrites your resume against Enpal's job description. Free.

Tailor your resume to this Data & Analytics Manager (f/m/x) role.
Rezi rewrites your resume against Enpal's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data & Analytics Manager (f/m/x) posting at Enpal — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Data & Analytics Manager (f/m/x) posting at Enpal — free, in seconds.
About the Role
Enpal is seeking a Data & Analytics Manager to lead an international BI and Data Analytics team across EMEA. This hands-on role involves people management, technical leadership, stakeholder management, and end-to-end data project delivery, translating business priorities into execution plans and delivering reliable data products.
Responsibilities
- Lead, coach, and develop an international BI and Data Analytics team.
- Build a motivating, accountable, and change-oriented team environment.
- Model clean, documented datasets in dbt, from staging through to marts.
- Own tests, documentation, metric definitions, data contracts, and version control workflows.
- Develop a semantic layer with governed metrics and dimensions.
- Drive the ongoing adoption of dbt best practices, ensuring models and documentation are consistent, well-structured, and ready for AI-powered analytics.
- Support team in the diagnosis of source data issues, reconciliation inconsistencies, and establishment of a single source of truth.
- Support data migration, ELT pipelines, and data platform consolidation.
- Optimize Snowflake performance, data freshness, and data quality.
- Own and continuously improve the processes that keep our data platform reliable.
- Use Python for data checks, automation, and utilities.
- Partner with BI and business teams to deliver certified datasets, self-service standards, and end-to-end reporting solutions.
- Translate business needs into scalable data products and governed metrics.
- Turn business priorities into project plans, identify risks and trade-offs, unblock the team, and drive delivery to completion.
- Mentor the team on analytics engineering best practices, modern tooling, and AI-assisted development.
Requirements
- 3+ years of experience in Analytics Engineering, BI Development, Data Engineering, or a related field.
- 1+ years of people or team leadership experience.
- Expert-level SQL.
- Strong data modeling and architecture skills, including star schemas, semantic layers, governed metrics, data contracts, and ELT pipelines.
- Hands-on experience building production-grade dbt projects, including staging-to-marts layering, tests, documentation, ownership, and version-control workflows.
- Snowflake experience, including query performance optimization, data freshness, and quality monitoring.
- Python skills for data checks, automation, and utilities.
- Experience with data quality and operations, including testing, monitoring, source-data reconciliation, CI/CD, data cataloging, and cost/performance tuning.
- Experience creating dbt models and documentation, AI-ready data products, and using AI-assisted development tools.
- Experience delivering certified datasets, self-service standards, and BI/reporting solutions end-to-end.
- Strong stakeholder management and communication skills.
- Hands-on, entrepreneurial, and problem-solving mindset.
- Motivational leadership style, positive drive for change, and confidence to challenge assumptions and make decisions.
Skills
- SQL
- Data Modeling
- Data Architecture
- Star Schemas
- Semantic Layers
- Governed Metrics
- Data Contracts
- ELT Pipelines
- dbt
- Snowflake
- Python
- Data Quality
- Data Operations
- Testing
- Monitoring
- Source-Data Reconciliation
- CI/CD
- Data Cataloging
- Cost/Performance Tuning
- AI-assisted Development
- BI
- Reporting Solutions
- Stakeholder Management
- Communication
Location
- EMEA
Work Type
- Hybrid
- Workflex (up to 30 days abroad)
Experience Level
- 3+ years Analytics Engineering/BI Development/Data Engineering
- 1+ years people/team leadership
Benefits
- Work at Germany's first green unicorn
- Play an active role in shaping the solar energy transition
- Work with a highly motivated, diverse team of over 65 nationalities
- Hybrid working concept
- Workflex: relocate abroad for up to 30 days a year
- Modern office in Berlin-Friedrichshain with amenities (height-adjustable desks, table tennis, stocked beverage fridges, barista coffee)
- Onboarding day with welcome bag and buddy program
- Transparent all-hands meetings
- Short decision-making processes
- Open feedback culture
- Legendary team spirit and unforgettable team events
- 29 + 2 vacation days
- Discounted membership at Wellhub
- Corporate benefits
About the Company
- 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.
- What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.
Equal Opportunity
- At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment.
- Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.