FINN
Senior Data Analyst - Operations(m/w/x)
Full-timeWith HomeofficeSenior
München
from 84,000 / year
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WEwemolo
Senior Data Analytics Business Partner(m/w/x)
München
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Translating business questions to analytical approaches, delivering decision-oriented insights at a tech-driven scale-up, collaborating on dbt models. 4+ years data analytics experience in scale-up/tech/consulting, with deep domain expertise expected. Workation opportunities, sustainable bike leasing, public transport subsidy.
Requirements
- 4+ years of data analytics experience
- Experience in scale-up, tech, or consulting
- Experience owning business department relationships
- Ability to drive data-informed decision-making
- Deep expertise in at least one domain
- Clear perspective on KPIs and drivers
- Advanced SQL skills
- Experience with BI tools, dbt, and Git
- Python skills as a plus
- Strong analytical mindset
- Ability to structure ambiguous problems
- Clear communication across diverse audiences
- Track record of high-impact analyses
- Proactive and opinionated mindset
- Confidence to take ownership
- Comfortable challenging the status quo
- Close collaboration with technical stakeholders
- Fluent English (C1/C2 level)
- German skills as a strong plus
Tasks
- Partner with various business departments
- Translate business questions into analytical approaches
- Challenge existing assumptions and KPIs
- Deliver clear, decision-oriented insights
- Collaborate with engineers on dbt models
- Maintain a reliable data foundation
- Design stakeholder dashboards and reports
- Implement and oversee meaningful KPIs
- Manage analytical content within Metabase
- Contribute to company-wide analytics standards
- Improve data operations and self-service enablement
- Drive data education initiatives
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- BI tools
- dbt
- Git
- Python
Benefits
Flexible Working
- Hybrid work model
Workation & Sabbatical
- Workation opportunities
Team Events
- Anchor Days in person
- Team events
- OKR parties
Company Bike
- Sustainable bike leasing
Public Transport Subsidies
- Public transport subsidy
Purpose-Driven Work
- Ownership and autonomy
Snacks & Drinks
- Portafilter coffee
- Fresh fruit
- Muesli bar
Free or Subsidized Food
- Bella&Bona online cafeteria
Healthcare & Fitness
- EGYM Wellpass
- Urban Sports Club access
Modern Equipment
- Top equipment
Ergonomic Workplace
- Ergonomic setup
Informal Culture
- No dress code
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of wemolo and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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WEwemolo
Senior Data Analytics Business Partner(m/w/x)
München
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
Translating business questions to analytical approaches, delivering decision-oriented insights at a tech-driven scale-up, collaborating on dbt models. 4+ years data analytics experience in scale-up/tech/consulting, with deep domain expertise expected. Workation opportunities, sustainable bike leasing, public transport subsidy.
Requirements
- 4+ years of data analytics experience
- Experience in scale-up, tech, or consulting
- Experience owning business department relationships
- Ability to drive data-informed decision-making
- Deep expertise in at least one domain
- Clear perspective on KPIs and drivers
- Advanced SQL skills
- Experience with BI tools, dbt, and Git
- Python skills as a plus
- Strong analytical mindset
- Ability to structure ambiguous problems
- Clear communication across diverse audiences
- Track record of high-impact analyses
- Proactive and opinionated mindset
- Confidence to take ownership
- Comfortable challenging the status quo
- Close collaboration with technical stakeholders
- Fluent English (C1/C2 level)
- German skills as a strong plus
Tasks
- Partner with various business departments
- Translate business questions into analytical approaches
- Challenge existing assumptions and KPIs
- Deliver clear, decision-oriented insights
- Collaborate with engineers on dbt models
- Maintain a reliable data foundation
- Design stakeholder dashboards and reports
- Implement and oversee meaningful KPIs
- Manage analytical content within Metabase
- Contribute to company-wide analytics standards
- Improve data operations and self-service enablement
- Drive data education initiatives
Work Experience
- 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- SQL
- BI tools
- dbt
- Git
- Python
Benefits
Flexible Working
- Hybrid work model
Workation & Sabbatical
- Workation opportunities
Team Events
- Anchor Days in person
- Team events
- OKR parties
Company Bike
- Sustainable bike leasing
Public Transport Subsidies
- Public transport subsidy
Purpose-Driven Work
- Ownership and autonomy
Snacks & Drinks
- Portafilter coffee
- Fresh fruit
- Muesli bar
Free or Subsidized Food
- Bella&Bona online cafeteria
Healthcare & Fitness
- EGYM Wellpass
- Urban Sports Club access
Modern Equipment
- Top equipment
Ergonomic Workplace
- Ergonomic setup
Informal Culture
- No dress code
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of wemolo and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
wemolo
Industry
IT
Description
Das Unternehmen fördert Innovation durch Vielfalt und schafft eine respektvolle Kultur, in der Teammitglieder sich weiterentwickeln können.
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