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Data Analyst, Tech

AT Uber
Uber

Data Analyst, Tech

Hyderabad, India

About the role

At Uber, the Data Analysts will have to help drive analysis behind decisions related to operations, process and optimisations. They will have to create, maintain, and communicate detailed reporting models to assist both internal and external operations. The role largely requires developing analytical frameworks to support the teams in company in new markets and products. They need to be a big-picture thinker and strategic partner. They also need to demonstrate analytical thinking through data-driven decisions and possess the technical know-how, fascination and ability to work with your team to make a big impact.

Basic Qualifications

* 4+ years of work experience in Analytics/ Business Intelligence/ Mathematics, Statistics, Computer Science, Engineering, or related discipline is mandatory

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* Exceptional Analytical, problem-solving, Excel and data management skills; SQL Proficiency

* Strong Python skills, experience in data extraction & wrangling (numpy, pandas, plotly)

* Experience working with GSuite products (Looker Studio, Google Sheets, Google Slides, etc)

* Analyze large datasets to identify actionable insights, trends, and opportunities for growth

* Ability to self-serve, investigate, get the required data and expertise in data visualization/presentation (e.g., Tableau, Looker Studio)

* Create automated reporting solutions for real-time data analysis and monitoring

* Strong communication and organization skills, with the ability to synthesize a lot of information quickly, highlight the key takeaways, and disseminate actionable insights

* Ability to work with remote teams and across time zones to develop strategies and foster a cohesive and creative work environment

Preferred qualifications

* Statistics & Data science - Should be conversant with basic Statistical Analysis (Regression, Classification etc) , A/B testing & Experimentation

* Familiarity with Large Language Models (LLMs) and an understanding of how Generative AI can be applied to data-driven solutions

* Familiarity with cloud-based data solutions (e.g., Google Cloud).

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.

*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): Hyderabad, Telangana, India
Job ID: Uber-135867
Employment Type: Full Time

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