Product Data Analyst

JOB TITLE: Product Data Analyst LOCATION: Foster City, CA (Hybrid; 3 days in office/week) PAY RANGE: $68 - 78/hr. DURATION: 6 months TOP 3 SKILLS: Minimum 4 years of experience in data analysis, including strong proficiency in SQL for extraction, transformation, and analysis of large datasets. Proficiency in Python and Pandas for data cleaning, processing, and building analytics-ready models. Experience creating and maintaining dashboards and visualizations using tools like Looker, Tableau, or Power BI to provide actionable insights. Job Description: Data is at the core of everything we do. As a Product Data Analyst, you will work alongside Data Scientists and Product Managers to help harness the power of data to understand and improve our service performance and customer experience. You will be responsible for analyzing vehicle and trip data, building data models, and providing actionable insights for our Product teams. Key Responsibilities: Data Processing & Cleanliness: Use SQL / Python to clean, process, and manipulate large datasets to ensure the accuracy and consistency of data used in analysis. Transform data into analytics-ready models where needed. Analysis & Reporting: Analyze service performance and customer data, uncover trends, and provide insights to the experience end-to-end. Correlate feedback we receive from riders with our service capabilities to inform the Product roadmap and feature prioritization. Visualization & Insights: Develop clear, concise visualizations and dashboards in Looker and/or Databricks to support decision-making. Ensure that these tools provide actionable insights for Product managers, leadership, and other stakeholders. Ad-Hoc Analysis: Respond to ad-hoc analytical requests, performing targeted analyses to help answer key business questions or evaluate the impact of potential changes to our Product. Collaboration with Product and Data Science Teams: Work 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. Qualifications: Education: Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. Experience: Minimum 4 years of experience in data analysis Strong proficiency in SQL for data extraction, transformation, and analysis Proficiency with Python and Pandas for data cleaning, manipulation, and analysis Experience creating and maintaining dashboards with tools like Looker, Tableau, Power BI, or similar visualization tools Skills & Competencies: Strong analytical mindset with a passion for problem-solving and customer impact Excellent communication skills, with the ability to explain technical concepts to a diverse, non-technical audience Ability to translate complex data into clear, actionable insights for a non-technical audience Attention to detail and a commitment to ensuring data accuracy Bonus Qualifications: Familiarity with machine learning or predictive analytics techniques Knowledge of autonomous vehicle operations BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching. IND123