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Data Analytics Specialist, Identity Support

Uber

Data Analytics Specialist, Identity Support

Uber

Hyderabad, India

·

On-site

·

Full-time

·

3d ago

About the Role

Within CXA A&I, the Identity Analytics Specialists will enable Global Identity program and Earner onboarding document operational teams to manage business critical metrics and identify improvement opportunities across onboarding processes, as well as partner with relevant data science / data infrastructure teams to improve the robustness of Identity data pipelines. As an analyst for the team, you will help drive impact by managing our data assets, as well as assisting the team in driving projects through a data perspective.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

  1. Build and maintain source of truth dashboards, queries, and self-service data tools to be leveraged by stakeholders for monitoring business performance and guiding decisions
  2. Recommend and implement strategies to optimize queries, dashboards or analytic processes
  3. Proactively analyze data, identify trends and generate meaningful recommendations to drive business goals within Identity workflows
  4. Performing impact analysis to assess the feasibility and effectiveness of programmatic or operational projects
  5. Identify operational weaknesses and help improve or innovate new processes to keep support teams as efficient as possible
  6. Mentor junior resources within the team
  7. Lead analytics projects for the larger team

---- Basic Qualifications ----

  1. At least 1-2 years experience in analytics
  2. Minimum of 1 year of hands-on experience with the Identity program projects, specifically within the Earner Onboarding vertical.
  3. Strong analytics, SQL, and web query skills with ability to:
  4. Select, clear and transform dataset
  5. Write simple nested statements and queries for complex problems

Use Spark or Presto:

  1. Experience within Python or R, with the ability to:
  2. Work with third-party APIs (basics)
  3. Use Pandas Library (skilled)
  4. Strong stakeholder management and communication skills, with the ability to:
  5. work with many business Stakeholders and tailor solutions to their needs
  6. explain complex technical details to non-technical business audience (excellent written and spoken English)
  7. Proficiency with at least 1 data visualization tool (e.g. Tableau, Looker Studio, Excel / Google Sheets)

---- Preferred Qualifications ----

  1. Proven track record in:
  2. Coding with best practices (optimized & reusable code, versioning, etc.)
  3. Analyzing complex datasets and storytelling
  4. Basic statistics knowledge (good to have)
  5. At least 1 year experience with
  6. Scrum process (e.g. Jira)
  7. Interpretation of technical documentation

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.

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.

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L3

0 reports

$145,456

total / year

Base

-

Stock

-

Bonus

-

$123,638

$167,274

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge