Analytics Engineer (Mid/Senior)
Modus GroupLithuania1 day ago
Full-timeRemote FriendlyOther
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Modus Mobility strives to provide smart mobility solutions to increasingly faster-living society and cities moving towards greener future needs. Moreover, the company seeks to reimagine the perception of mobility across Europe. Modus Mobility unites two strong mobility brands: CityBee - one of the largest car sharing providers in Europe, MyBee - the only fully digital car subscription provider. Together these brands form an ecosystem that gives each of the brands unparalleled advantage and a smooth experience for customers.
If you are eager to change people's attitude towards owning a car and create a sustainable and innovative mobility future - join us.
At the moment, we are looking for an Analytics Engineer (Mid/Senior) - a person who will work together with the teams that are working hard to make CityBee and MyBee products loved by our customers.
As Analytics Engineer (Mid/Senior), your main responsibilities would be:
If you are eager to change people's attitude towards owning a car and create a sustainable and innovative mobility future - join us.
At the moment, we are looking for an Analytics Engineer (Mid/Senior) - a person who will work together with the teams that are working hard to make CityBee and MyBee products loved by our customers.
As Analytics Engineer (Mid/Senior), your main responsibilities would be:
- Building and maintaining Power BI dashboards and data models to help make better decisions
- Collecting and managing data from different systems to ensure accuracy and consistency
- Monitoring and improving key metrics, helping teams understand what drives performance changes
- Designing and running A/B tests and other experiments to validate ideas and measure the impact of product or marketing initiatives
- Exploring data to uncover new opportunities and trends, such as shifts in user behavior or market dynamics
- Investigating data issues, identifying root causes, and recommending improvements to data processes
- Proven experience as a Data or Analytics Engineer / Analyst
- Strong SQL and Power BI (or similar tools) skills
- Experience with SSAS models and ETL processes (SSIS or similar)
- Basic knowledge of A/B testing and Python for data analysis is a plus
- Excellent communication and organizational skills, with the ability to convey technical and statistical information
- Strong written and spoken English skills.
- Health and Safety Perks: Enjoy benefits like private health insurance, personal accident coverage, and the opportunity to join a 3rd pillar pension fund
- Little Perks, Big Smiles: We have some little extras for you, including a new, dog-friendly office space, snacks in the kitchen, free parking for your convenience, and fun regular events to look forward to
- Flexibility at Your Fingertips: Work from home or our modern office, offering flexibility to optimize productivity and well-being
- Freedom to Flourish: Here, we encourage thinking outside the box, taking ownership, and getting things done
- From 3400 - 4200 EUR gross. Specific amount will be offered based on your work experience and competencies
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