Jobs
Benefits & Perks
•Healthcare
•Dental
•Vision
•Parental Leave
•Paid Time Off
•401(k)
•Healthcare
•Parental Leave
•401k
Required Skills
Data visualization
Communication
Financial analysis
In this role, you will advance the pricing analytics function at Whole Foods Market, shaping pricing strategies for assigned categories. Responsibilities include recommending pricing changes, educating business partners, and delivering data-driven insights. Ideal candidates embody a mix of hard and soft skills, with the ability to dive into data and effectively communicate with non-technical business partners. Qualifications include analytical proficiency, retail experience, and exceptional communication skills.
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Key job responsibilities
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Analyze and recommend price changes for assigned categories using pricing software.
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Collaborate with pricing and merchandising leadership to define financial targets and competitive pricing logic.
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Educate and guide business partners in leveraging pricing analytics tools effectively.
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Develop and present analytical insights to merchandising leadership.
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Evaluate historical pricing effectiveness.
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Provide ad-hoc pricing analyses as needed.
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Communicate pricing trends and insights to various teams.
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Create category-specific analytical tools and reports.
A day in the life
This role leverages various metrics, objectives, and goals to provide strategic price proposals to your merchant stakeholders.
About the team
The team is collaborative and enjoys to keep a lighthearted nature with their peers while delivering effective results.
Basic Qualifications
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Knowledge of data visualization tools such as Quick Sight, Tableau, Power BI or other BI packages
- Experience in written and oral communication, including the ability to communicate with all levels in the organization (technical, business, executive)
- 2+ years of doing one of several roles: quantitative/financial analysis, retail buying, retail planning & allocation, product/project management, pricing, marketing or e-commerce experience
Preferred Qualifications
- Experience in Excel or SQL
- Experience using very large datasets
- Experience with financial or business analysis
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 55,800.00 - 97,600.00 USD annually
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
2.8
Compensation
3.7
Culture
2.5
Career
2.3
Management
2.1
35%
Recommend to a Friend
Pros
Good pay and compensation
Strong benefits package
Flexible scheduling options
Cons
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
Salary Ranges
2 data points
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0 reports
$108,330
total / year
Base
$43,332
Stock
$54,165
Bonus
$10,833
$75,831
$140,829
Interview Experience
10 interviews
Difficulty
3.7
/ 5
Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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