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