Data Analyst

Responsibilities

• Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
• Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
• Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
• Serve as first responder for data discrepancy and freshness issues.
• Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
• Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
• Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.
• 1–3 years of experience in data analytics
• Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
• Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).
• Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.
• Experience building and maintaining dashboards in BI tools such as Tableau or Looker.
• Solid understanding of descriptive statistics and ability to interpret analytical results.
• Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications

• Master's or PhD in Data Science, Transportation, or a related field.
• Previous experience working with geospatial analytics and spatial datasets.
• Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
• Experience with Grafana or similar operational monitoring tools.
• Exposure to cloud platforms, especially AWS.
• Prior experience in a startup environment and a desire to make a significant impact.