Wunder Mobility powers shared mobility operators at scale: 20M+ trips per year, 50M+ daily API calls, hundreds of cities. Trusted by operators like Forest, GreenMobility, and JOCO.We are hiring an Experienced Data Analyst to help build a new insights product used by operators to take immediate action. Not a flood of dashboards, but high-signal, operationally relevant insights. You’ll join a focused team of three and shape how operators understand their users, revenues, fleets, and performance.You will be measured on insight quality, data accuracy, operational impact, and automation improvements.<h2>Tasks</h2><ul><li>Work closely with Product and Engineering to design, build, and iterate on a new data insights product for operators. Prioritizing clarity, actionability, and minimal noise</li><li>Translate our domain model (trips, revenue, availability, tasks, operational workflows) into intuitive, connected insights customers can act on</li><li>Own key data modeling and data quality improvements: collaborate with engineering to update preprocessing scripts and expose clean, analysis-ready data in Snowflake</li><li>Build ThoughtSpot worksheets and Liveboards (or equivalent BI artifacts) that drive operator decisions, while keeping the layer simple and maintainable</li><li>Establish data contracts and documentation for core metrics (trip success, availability, task SLAs, billing events, etc.)</li><li>Support internal operational workflows, including the monthly customer billing process (active vehicle counts, usage-based metrics), and progressively automate it</li><li>Partner with Customer Success to validate insight usefulness and feed learnings back into the product</li></ul><h2>Requirements</h2>What success looks like90 days<ul><li>Understand core domains: trips, revenues, availability, tasks, billing, and fleet access</li><li>Ship first operator-facing insights with validated usefulness (action taken by CS or by operators)</li><li>Identify data gaps and propose improvements to preprocessing models / Snowflake schema</li><li>Stabilize and document the monthly billing data flow</li></ul>6 months<ul><li>Deliver a cohesive set of insights used by operators weekly to improve revenues, availability, reduce operational toil, or increase trip success</li><li>Improve data quality and reliability by updating preprocessing scripts together with Engineering; reduce manual data stitching</li><li>Fully automate or significantly streamline monthly billing</li><li>Publish a metric framework and data dictionary for the insights product</li></ul>Core KPIsAccuracy and reliability of the insights surfaced to customers<ul><li>Adoption and engagement with delivered dashboards / insights</li><li>Reduction in manual data work across Product, CS, and operators</li><li>Accuracy and timeliness of monthly billing data</li><li>Contribution to data model improvements (Snowflake, preprocessing scripts)</li></ul>Requirements<ul><li>3–5+ years experience as a Data Analyst or Analytics Engineer in a SaaS or operationally complex domain</li><li>Strong SQL and data modeling skills; Snowflake experience is a plus (ability to collaborate on preprocessing scripts is expected)</li><li>Ability to understand and translate business logic into clean, connected data models</li><li>Experience with BI tools like ThoughtSpot, Looker, Tableau, etc. (ThoughtSpot is a plus but not required)</li><li>Clear communication and structured thinking. You can explain metric definitions and trade-offs to product managers, engineers, and operators</li><li>Bias for simplicity: you produce fewer, higher-value insights rather than dashboards for dashboards’ sake</li><li>Experience working with operational teams and supporting recurring internal processes (e.g., billing, revenue reporting, operational metrics)</li></ul><h2>Benefits</h2><ul><li>Direct ownership of a new operator-facing insights product with immediate customer impact</li><li>Influence our data model and pipeline design at the foundation level</li><li>25 days paid vacation</li><li>30-day workation once per year</li><li>Hybrid work model: 3 days (Monday, Wednesday, Thursday) in our Banja Luka office, 2 days remote</li><li>Travel for team workshops or operator sessions as needed</li></ul>Ready to build the data backbone that powers shared mobility operations worldwide? Apply now.

Wunder Mobility is a marketplace and tech platform that allows start-ups, corporates, and cities to launch and scale mobility services efficiently. They are providing the full stack of new mobility services, from Carpool to Shuttle and Fleet products. Their products are used by 30+ clients and deployed in 50+ cities on four continents. It also develops and delivers a mobile carpooling application that allows people to fill the empty seats in their car by sharing a ride. The company OS helps you to deploy, scale, and create technology that connects communities with end to end mobility services. It supplies software, hardware, and operational services for various future-oriented mobility concepts. They are enabling communities on four continents to address the global traffic challenge and to deploy more sustainable mobility options faster by hosting a full-stack urban mobility tech platform. They are hosting the annual Wunder Mobility Summit, an annual invite-only event for the top 200 decision-makers in new mobility. Wunder Mobility was founded in January 2014 and is based in Hamburg, Germany.

Data Analyst (Experienced)

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Wunder Mobility

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