Job Type: Contract
Contract Length: 6+ months
Pay Range: ~60-70/hr
Start Date: ASAP
Location: Hybrid in Foster City, CA
About the Opportunity:
Our client, a leader in Autonomous Vehicle/Mobility, is looking for a skilled Product Data Analyst to join their team for a 6+ months engagement. This project involves analyzing vehicle and trip data, building data models, and providing actionable insights to understand and improve service performance and customer experience. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.
Key Responsibilities & Deliverables:
This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:
- Data Processing & Cleanliness: Using SQL/Python to clean, process, and manipulate large datasets to ensure data accuracy and consistency, and transforming data into analytics-ready models where needed.
- Analysis & Reporting: Analyzing service performance and customer data, uncovering trends, providing end-to-end experience insights, and correlating rider feedback with service capabilities to inform the Product roadmap and feature prioritization.
- Visualization & Insights: Developing clear, concise visualizations and dashboards in Looker and/or Databricks to support decision-making, ensuring these tools provide actionable insights for Product managers, leadership, and other stakeholders.
- Ad-Hoc Analysis: Responding to ad-hoc analytical requests and performing targeted analyses to help answer key business questions or evaluate the impact of potential changes to the Product.
- Collaboration with Product and Data Science Teams: Working closely with data engineers and data scientists to establish metrics, data models, and insights; and with Product teams to ensure the work is aligned to Product priorities and maximizes customer impact.
We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:
- 4+ years of experience in data analysis.
- Deep expertise in SQL, Python, and Pandas, along with experience creating and maintaining dashboards with tools like Looker, Tableau, Power BI, or similar visualization tools. This isn't a learning role—you need to be a subject matter expert.
- Demonstrated ability to work autonomously and manage your own time effectively to meet project goals, with a strong analytical mindset and a passion for problem-solving and customer impact.
- Experience with [e.g., Agile methodologies, CI/CD pipelines, Git version control]. (Note: Education requirement is a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.)
- Strong communication skills to provide clear and concise status updates to the project team, with the ability to explain technical concepts to a diverse, non-technical audience and translate complex data into clear, actionable insights.
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