---
title: 'Senior Analytics Engineer at DoorDash India'
canonical: 'https://feeny.ai/job/senior-analytics-engineer-doordash-india-hyderabad-wqzvtcdr0agh'
type: 'job'
last_seen: '2026-11-08'
---

# Senior Analytics Engineer at DoorDash India

- **Company:** DoorDash India
- **Location:** Hyderabad, India
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-11-08
- **Apply:** https://job-boards.greenhouse.io/doordashindia/jobs/8191772

## Job description

## About the Team

Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. The team serves as the foundation for decision-making at DoorDash.

## About the Role

DoorDash is looking for an Analytics Engineer to build and scale data models, pipelines, and self-service analytics across the organization. In this role, you’ll focus on developing a reliable semantic/presentation layer and reporting structure that meets our growing business needs, enabling teams to access and analyze data independently.

You’re excited about this opportunity because you will…

- Design, develop, and maintain robust data models to support analytical and product data needs across the organization
- Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into scalable data solutions
- Implement and optimize ETL/ELT processes to ensure data quality, reliability, and performance
- Own and define business KPIs, their measurement plans, data requirements and reporting
- Build processes to ensure correct, timely and reliable reporting
- Address ad-hoc reporting requirements and find pathways for automation
- Build and enforce common design patterns to increase report reusability, readability and standardization
- Build visually appealing, high-performing, and impactful reporting/dashboard products using tools like Sigma/Thoughtspot/Looker across large data sets

We’re excited about you when you have…

- 5+ years extensive experience working in business intelligence, data analytics, Data engineering or a similar role
- Strong SQL skills and experience with data modeling techniques (e.g., dimensional modeling, 3 Nf, data vault)
- Proficiency in a programming language such as Python or Scala
- Experience building reporting and dashboarding solutions using data lake/ Snowflake or similar ecosystem
- Expert in Database fundamentals, SQL and performance tuning
- Excellent communication skills and experience working with technical and non-technical teams
- Comfortable working in fast paced environment, self starter and self organizing
- Ability to think strategically,  analyze and interpret market and consumer information

- Nice to Haves:

- Experience with real-time data processing and streaming technologies
- Experience with modern data warehousing platforms (e.g., Snowflake, DataBricks, Redshift) and knowledge of data visualization tools (e.g., Looker, Tableau).
- Familiarity with machine learning concepts and their data requirements

## About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

If you need any accommodations, please inform your recruiting contact upon initial connection.

## About DoorDash India

## Company Overview
- **One-liner**: DoorDash India is the regional office of DoorDash Inc., the leading on-demand food delivery and logistics platform that connects consumers, merchants, and dashers, and supports global product and engineering operations from its hubs in Hyderabad and Pune.
- **Entity Type**: Public company (parent DoorDash Inc., NASDAQ: DASH) – India operations are a subsidiary office.
- **Headquarters**: Global HQ: San Francisco, USA; India offices in Hyderabad and Pune.
- **Founded**: 2013 (global)
- **Founders**: Tony Xu, Andy Fang, Stanley Tang, Evan Moore

## Core Business
- **Industry**: Food delivery, logistics, and on-demand services – with a strong technology and data engineering backbone.
- **Target Customers**: B2C (consumers ordering food), B2B (merchants), and B2B2C (dashers as independent contractors). The India office primarily serves internal engineering and data needs.
- **Mission**: “Empower local economies” – by providing the best on-demand delivery experience.

## Products & Services
- **DoorDash Marketplace**: Core on-demand food delivery platform connecting consumers with local restaurants and merchants.
- **DoorDash for Merchants**: Suite of tools for restaurants to manage orders, delivery, and analytics.
- **DoorDash Drive**: White-label last-mile delivery platform for businesses.
- **DoorDash Labs**: Robotics and automation team exploring autonomous delivery solutions (e.g., sidewalk robots).
- **Data Engineering & Analytics**: Internal data platforms powering real-time decision-making, product experimentation, and financial reporting – a key focus for India-based teams.
- **Telemetry Platform**: Unified infrastructure for sub-second user intent detection and mission-critical experimentation.

## Market Standing
- **Valuation/Market Cap**: Parent DoorDash Inc. has a market cap of approximately $50 B (as of mid-2026). India office’s standalone valuation is not disclosed.
- **Key Metrics**: Parent company annual revenue exceeded $8.6 B in 2024. India operations headcount is growing rapidly – job listings show 10+ active engineering and data roles as of June 2026, with overall workforce growth of +20% month-over-month (LinkedIn).
- **Notable Investors/Partners**: As a public company, major institutional investors include Vanguard, BlackRock; key partners include thousands of restaurants and merchants globally.
- **Growth Signals**: DoorDash is expanding its India engineering presence, with dedicated teams for Data Engineering, Telemetry Platform, Maps, and Robotics (DoorDash Labs). The India office shows strong recruitment activity – 10 open positions across Hyderabad and Pune in June 2026.

## Competitive Advantages
- **Scale & Data Moat**: Processes millions of orders daily, generating unmatched data for logistics optimization.
- **Technology Stack**: Deep investment in real-time telemetry, machine learning for demand forecasting, and autonomous delivery R&D.
- **Brand & Network Effects**: Dominant market share in US food delivery; strong three-sided marketplace (consumers, merchants, dashers).
- **Global Engineering Talent**: India office taps into a rich talent pool for data engineering, backend, and automation.

## Strategic Focus
- **Engineering Expansion in India**: Building out core data, telemetry, and platform teams in Hyderabad and Pune to accelerate product innovation.
- **Autonomous Delivery**: DoorDash Labs is exploring robotics to transform last-mile logistics long-term.
- **Data-Driven Operations**: Scaling internal data products to improve decision-making and efficiency across the business.
- **Multi-Brand Platform**: Unifying infrastructure to support multiple brands and global expansion.

## Why Work Here
- **Impact**: Work on mission-critical infrastructure that powers a global logistics network used by millions.
- **Culture**: Strong emphasis on data-driven decision-making, engineering excellence, and collaboration. DoorDash is known for a fast-paced, high-autonomy environment.
- **Work Policy**: Roles in India are on-site (Hyderabad or Pune). Global headquarters offers hybrid options.
- **Perks & Growth**: Competitive compensation, stock equity (as part of a public company), opportunities to work on cutting-edge technology like robotics and real-time telemetry.
- **Team**: The Indian offices host dedicated teams in Data Engineering, Analytics Engineering, Telemetry Platform, and Maps, offering exposure to high-impact projects from day one.

## Sources
1. [DoorDash Global Careers & Jobs](https://careersatdoordash.com/job-search/)
2. [DoorDash India Job Listings (Jobera)](https://jobera.com/employer/doordashindia/)
3. [DoorDash India Active Roles (JobsRadar)](https://jobs-radar.com/company/doordashindia-4260)
4. [DoorDash LinkedIn](https://www.linkedin.com/company/doordash)
5. [DoorDash India LinkedIn](https://in.linkedin.com/company/doordash-india)
6. [DoorDash Official Website](https://doordash.com)

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