About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10000+ employees
Industry: Technology

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What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ---- You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to ->

• Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform
• Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring.
• Proactively communicate insights and drive projects to drive towards team goals
• Ensure data quality across critical pipelines and to set up processes to triage data issues
• Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health
• Seek out opportunities to build new solutions to tackle Customer & Business pain points

---- Basic Qualifications ----

• 4+ years of work experience with a Bachelor's Degree OR 3+ years of work experience with a Master's Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science
• Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
• Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python
• Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries

---- Preferred Qualifications ----

• SQL mastery. Write efficient and complex code in SQL
• Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred
• Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus
• Proven ability to handle and visualise large datasets, explore and utilise raw data feeds
• Love of data
• One should have the zeal to just go get the required data and turn it into an insightful story
• Ability to build a structured approach to problem-solving that leads to high quality hypotheses
• Strong sense of ownership, accountability, and entrepreneurial spirit
• Effective communicator & proactive collaborator
• Independent & autonomous, while still a strong team player
• Enthusiastic, self-starting and thrives in changing, agile environments

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Client-provided location(s): Bangalore, India

Job ID: Uber-153025

Employment Type: FULL_TIME

Posted: 2026-01-14T00:26:33
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Perks and Benefits

Health and Wellness

• Health Insurance
• Health Reimbursement Account
• Dental Insurance
• Vision Insurance
• Life Insurance
• FSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Mental Health Benefits

Parental Benefits

Fertility Benefits:

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Pet-friendly Office
• Snacks
• Some Meals Provided
• On-Site Cafeteria

Vacation and Time Off

• Paid Vacation
• Unlimited Paid Time Off
• Paid Holidays
• Personal/Sick Days
• Sabbatical
• Volunteer Time Off

Financial and Retirement

• 401(K)
• Company Equity
• Performance Bonus

Professional Development

• Work Visa Sponsorship
• Associate or Rotational Training Program
• Promote From Within
• Mentor Program
• Access to Online Courses

Diversity and Inclusion

• Employee Resource Groups (ERG)
• Diversity, Equity, and Inclusion Program

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