Data Analyst - 567398

• Framework & process development - Formulate reusable analytical frameworks and scalable processes that translate complex data into actionable recommendations for product and engineering partners.
• Project & timeline management - Manage timelines across concurrent analytical workstreams, proactively adjusting priorities in response to shifting business needs and communicating progress, delays, and blockers to stakeholders in a timely manner.
• Measurement planning - Independently develop and communicate measurement plans for product initiatives; gain cross-functional alignment on goals and KPIs before initiatives launch.
• Leadership-facing reporting - Assemble and present structured, actionable recommendations to vertical area leadership, distilling complex analyses into clear narratives appropriate for senior audiences.

Responsibilities

• Primary Responsibility: Monitor and improve map data coverage and quality. Generate metrics and dashboard reports, conduct root-cause analyses, track KPIs against targets, and investigate emerging data quality issues before they reach downstream products.
• Secondary Responsibility: Support product analytics across Mapping Driver, Rider, and Platform experiences by performing analyses and
• creating dashboards to uncover product insights, drive feature prioritization, and proactively monitor feature health.
• Cross-functional collaboration - Partner with Product Management, Engineering, and UX Research to translate analytical findings into production changes, pairing quantitative insight with qualitative research.
• Process / operations - Lead recurring metrics deep-dive reviews, contribute to weekly program status updates, support quarterly KPI planning, ad-hoc investigations, and manage the lifecycle of analytical models.
• Analysis & reporting - Own analyses across the map data collection lifecycle, coverage and traversal, device and asset management, program cost and efficiency, and data quality and alert signals.

• Education: e.g. bachelor's degree in engineering, science, analytics, GIS, or equivalent work experience
• Ability to use data visualization tools to provide actionable insights and reusable frameworks
• Strong written and verbal communication skills for internal stakeholders, including senior leadership
• Advanced analytical and problem-solving skills
• Proficiency in SQL
• Familiarity with Mode, Hex, and/or other AI data tools is a strong plus

LeadStack Inc. is an award-winning, one of the nation's fastest-growing, certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work, we're proud to partner with some of the most admired Fortune 500 brands in the world.