-
Uber

Data Analyst II, Site Analytics & Optimization

Uber
United States · Full-time · Entry

About The Role

We are seeking a highly motivated and analytical Data Analyst for Site Merchandising to join the Uber Grocery and Retail team. In this key role, you will participate in and drive the execution of our site merchandising insights and analytics in order to create a world-class shopping experience for consumers. You will be accountable for building and maintaining success of the insights & analytics reporting and tools; including content and offers strategy, seasonal campaigns and category management efforts, while collaborating with product, regional, and cross-functional teams to elevate merchandising standards across all markets. You'll leverage insights to ensure an engaging yet seamless shopping experience, and deliver operational excellence in all merchandising efforts.

What You'll Do

  • Own the global vision and strategy for the global grocery and retail categories - e.g. define reporting and tools required to measure platform performance, themes, promotional/offers ideas, aisle structure/ranking, assortment opportunities, category specific product requirements - including what is standardised and localised.
  • Provide guidance on category content and product requirements: work closely with cross functional teams to build and launch product, assets and creative; work with local teams to ensure high quality storefronts and a high standard of execution for campaigns aligned with global vision and objectives
  • Tell the consumer story: Use performance data, consumer feedback, consider seasonality and Industry trends to tell the consumer experience story. As the consumer story owner you will use this story to enhance the consumer journey, drive new strategies, and influence stakeholders.
  • Merchandising calendar and Promotional plans: Develop and manage a global site merchandising calendar, planning key retail moments and other promotional offers to maximize reach, relevance and impact; ensure that campaigns align with product strategies, regional, cultural, and seasonal trends.
  • Data-Driven Optimization: Generate and share insights, learnings and best practices with local merchandisers utilizing data, insights, and industry analysis to continually refine merchandising strategies and campaign designs, optimizing engagement, conversion rates, and ROI. Measure platform health and report on performance regularly against key metrics with clear insights and recommendations.
  • Operational Excellence: Develop and maintain effective workflows, processes, and timelines for merchandising activities, ensuring efficient and flawless execution of all merchandising initiatives.

Basic Qualifications

  • Bachelor's degree in Business, Marketing, or related field
  • 2+ years of experience in merchandising, e-commerce insights & analytics, or related roles, with a focus on global campaigns and category management.
  • Strong analytical skills with experience using data to drive decision-making and optimize merchandising strategies, reporting building, SQL query builder.

Preferred Qualifications

  • Excellent communication, and collaboration skills, with experience working cross-functionally in a fast-paced environment.
  • Exceptional project management skills, with the ability to manage multiple initiatives simultaneously and meet tight deadlines.
  • Ability to innovate and experiment with a focus on consumer experience, engagement, and conversion.

For Chicago, IL-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For Dallas, TX-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For New York, NY-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For Washington, DC-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For Chicago, IL-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For Dallas, TX-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For New York, NY-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For Washington, DC-based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Key Skills

Ranked by relevance

san sql
Login to Apply
Posted
Jul 23, 2025
Type
Full-time
Level
Entry
Location
San Francisco
Company
Uber

Industries

Internet Marketplace Platforms

Categories

Information Technology

Related Jobs

3 roles aligned with this opportunity

View all jobs
View Job Details
Uber
Related

Junior Data Scientist

2026-05-26

Full-time
Not Applicable
Poland
Internet Marketplace Platforms
Engineering
View Job Details
Jobgether
Related

Senior Data Analyst

2026-05-26

Full-time
Associate
Romania
Internet Marketplace Platforms
Information Technology
View Job Details
Jobgether
Related

Senior Data Analyst

2026-05-25

Full-time
Associate
Ireland
Internet Marketplace Platforms
Information Technology