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Lead Data & Analytics
fair parken GmbHLead Data & Analytics Team at fair parken, a leader in smart parking concepts in Germany. Responsible for data architecture, team development, and strategic data solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering and analytics teams, with a strong focus on data architecture, scalable solutions, and effective collaboration with business units. Proficient in modern data stacks and capable of translating complex technical concepts into actionable insights.
Highest-signal resume keywords
Data Engineering ExpertiseData Warehouse ArchitectureAnalytics & Business IntelligenceModern Data Stacks ProficiencyTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData WarehouseData EngineeringAnalyticsBusiness IntelligenceScalable Data StructuresAutomationAI OpportunitiesTechnical PresentationSystems Understanding
Soft Skills
LeadershipCollaborationCommunication
Tools & Technologies
PythonMS SQLDbtDockerPower BISSISAirflowDagster
Industry Keywords
Data & AnalyticsDecision-MakingSelf-Service AnalyticsExecutive Collaboration
Tech Stack
Tools & technologiesAirflowDockerPythonSQLSSIS
About the role
Key responsibilities & impact- Lead and develop the Data & Analytics team, both in terms of subject-matter leadership and line management
- Establish clear structures, roles and standards to ensure scalability, quality and future viability
- Expand data engineering capabilities and strengthen the technical foundation
- Take responsibility for data architecture and the data warehouse
- Ensure consistent, reliable data for decision-making
- Further develop dashboards, reports and self-service analytics
- Empower business units in working with data and analyses
- Translate business requirements into scalable data & analytics solutions
- Collaborate closely with executive management, the CTO, IT and business teams
- Monitor and evaluate automation and AI opportunities
Requirements
What you’ll need- Several years of professional experience in technical and line management of data, analytics or engineering teams
- Technical and conceptual expertise in data engineering & data warehouse architectures as well as in analytics & business intelligence
- Strong architectural and systems understanding
- Practical experience with modern data & analytics stacks (e.g. Python, MS SQL, dbt, Docker, Power BI, SSIS, Airflow/Dagster)
- Ability to present technical complexity in an understandable way
- Experience building or further developing scalable data & analytics structures
Benefits
Comp & perks- Permanent employment with a fast-growing company
- 30 days of annual leave
- Competitive salary of €60,000 to €70,000 gross per year, depending on qualifications and experience
- Monthly commuting allowance
- Company bike leasing (JobRad)
- Comprehensive onboarding program
- Private accident insurance
- Company pension scheme
- Open-door policy and first-name culture
- High-end laptop
- Option to work from home
- Voucher card accepted by various partner merchants
- Employee discount platform
- Corporate fitness via Urban Sports
- Discounted gym membership
- Regular team-building events