CityBee & MyBee Analytics Engineer (Mid/Senior) at Lemon

Vilnius, Vilnius County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

4200.0

Posted On

29 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics, SQL, Power BI, SSAS, ETL, A/B Testing, Python, Communication, Organizational Skills, English

Industry

Consumer Goods Rental

Description

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. Your responsibilities will include: 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. What We’re Looking For: 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. Monthly salary: From 3400 - 4200 EUR gross. Specific amount will be offered based on your work experience and competencies.

Responsibilities

The Analytics Engineer will build and maintain Power BI dashboards and data models, collect and manage data from various systems, and monitor key metrics. They will also design and run A/B tests to validate ideas and explore data for new opportunities.