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Data Analyst, Labs

DoorDash
Remote, IND
Full-time
Mid-Senior
Remote
Discovered 1 weeks ago
Data analyticsBusiness analyticsSQLData visualizationBusiness intelligencePython
Free

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Data analyticsBusiness analyticsSQL
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Location and Work Arrangement

  • The role is associated with Hyderabad, with remote work explicitly available.

About DoorDash Labs

DoorDash Labs is an independent team exploring robotics and automation to transform last-mile logistics.

The team develops and commercializes autonomy and robotics products using advanced hardware and software technologies.

Role Overview

The Data Analyst will help bring autonomous robots and other high-tech automation products to market at scale.

The role owns analytics and insights across technical and product areas and partners with product management, engineering, operations, and leadership.

Core Responsibilities

  • Own analytics and insights across multiple technical and product areas to measure business and product performance.
  • Define strategies for commercial, operations, and autonomy insights to drive product improvements and answer critical business questions.
  • Create high-value visualizations and dashboards from synthesized data.
  • Translate complex business questions from engineering, product, and leadership stakeholders into measurable data solutions.
  • Structure data for ongoing reporting, dashboarding, and deeper analytics.
  • Support product development, operations, and commercialization across the team and technology stack.

Qualifications

  • Bachelor's degree in business administration, economics, computer science, management information systems, or a related field, or equivalent related experience.
  • Three to six years of experience in data analytics or business analytics.
  • Experience with Redshift, Oracle, Trino, Snowflake, or similar databases.
  • Expert SQL skills and experience with multiple data visualization or business intelligence tools.
  • Some experience with Python or a similar programming language for building ETL pipelines.
  • Ability to define meaningful metrics and KPIs and structure data for accessible reporting.
  • Proactive stakeholder engagement and a focus on understanding business challenges.
  • Experience with Sigma Computing is preferred.

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