招聘

Site Merchandising Manager, Analytics & Insights
Chicago, IL; New York, NY; San Francisco, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Flexible Hours
•Equity
•Healthcare
Required Skills
Python
JavaScript
TypeScript
About the Role
We are seeking a highly motivated and strategic Site Merchandising Manager 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
- 1+ years of experience in merchandising, e-commerce, 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 in Tableau or similar visualization tools, SQL query builder
Preferred Qualifications
-
2+ years of experience in merchandising, e-commerce insights & analytics, or related roles, with a focus on global campaigns and category management.
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Excellent communication, and collaboration skills, with experience working cross-functionally in a fast-paced environment.
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Exceptional project management skills, with the ability to manage multiple initiatives simultaneously and meet tight deadlines.
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Ability to innovate and experiment with a focus on consumer experience, engagement, and conversion.
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For Chicago, IL-based roles: The base salary range for this role is USD**$95,500 per year**
-
USD**$106,250 per year**.
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For New York, NY-based roles: The base salary range for this role is USD**$106,000 per year**
-
USD**$118,000 per year**.
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For San Francisco, CA-based roles: The base salary range for this role is USD**$106,000 per year**
-
USD**$118,000 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.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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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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
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
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$203,580
$209,300
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
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