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Transforming raw data into actionable insights for AI and BI solutions. Data modeling and warehousing expertise required. Profit sharing (at least 20%), frequent team events in Berlin.
Requirements
- SQL and relational databases experience
- Data modeling techniques understanding (e.g. Data Vault or Kimball’s Dimensional Modelling)
- Data warehousing understanding
- AI tools exposure in professional context
- Curiosity and growth mindset
- Comfort working in ambiguity
- Programming languages experience (Python preferred)
- Data visualization tools experience
- Stakeholder or client management experience
Tasks
- Transform raw data into clear insights
- Identify patterns and uncover opportunities
- Enable data-driven decision-making
- Collaborate with clients to translate challenges into solutions
- Work with experienced team members for onboarding
- Understand various data technologies
- Connect with domain experts to solve data issues
- Develop advanced data reporting and visualizations
- Leverage AI tools for client and internal projects
- Apply data modeling methodologies
- Contribute to a robust data platform
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- SQL
- Python
- Data Vault
- Kimball’s Dimensional Modelling
- AI tools
- LLMs
Benefits
Bonuses & Incentives
- Profit sharing (at least 20%)
Informal Culture
- Honest, inclusive work environment
Team Events
- Frequent team events in Berlin
- Meetups
- Yearly offsite event (full week)
Workation & Sabbatical
- Workations
- Company workations
Flexible Working
- Flexible office days (2-5 days/week)
Modern Equipment
- High-quality equipment (Laptop, extra screens)
Startup Environment
- Work with skilled colleagues
Other Benefits
- Focus on output over input
Learning & Development
- Lunch & learn sessions
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Transforming raw data into actionable insights for AI and BI solutions. Data modeling and warehousing expertise required. Profit sharing (at least 20%), frequent team events in Berlin.
Requirements
- SQL and relational databases experience
- Data modeling techniques understanding (e.g. Data Vault or Kimball’s Dimensional Modelling)
- Data warehousing understanding
- AI tools exposure in professional context
- Curiosity and growth mindset
- Comfort working in ambiguity
- Programming languages experience (Python preferred)
- Data visualization tools experience
- Stakeholder or client management experience
Tasks
- Transform raw data into clear insights
- Identify patterns and uncover opportunities
- Enable data-driven decision-making
- Collaborate with clients to translate challenges into solutions
- Work with experienced team members for onboarding
- Understand various data technologies
- Connect with domain experts to solve data issues
- Develop advanced data reporting and visualizations
- Leverage AI tools for client and internal projects
- Apply data modeling methodologies
- Contribute to a robust data platform
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- German – Native
- English – Native
Tools & Technologies
- SQL
- Python
- Data Vault
- Kimball’s Dimensional Modelling
- AI tools
- LLMs
Benefits
Bonuses & Incentives
- Profit sharing (at least 20%)
Informal Culture
- Honest, inclusive work environment
Team Events
- Frequent team events in Berlin
- Meetups
- Yearly offsite event (full week)
Workation & Sabbatical
- Workations
- Company workations
Flexible Working
- Flexible office days (2-5 days/week)
Modern Equipment
- High-quality equipment (Laptop, extra screens)
Startup Environment
- Work with skilled colleagues
Other Benefits
- Focus on output over input
Learning & Development
- Lunch & learn sessions
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Gemma
Industry
IT
Description
Gemma helps organizations activate and operationalize data with state-of-the-art technology, offering AI and BI solutions for better client choices.
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