Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Unlimited PTO
•Parental Leave
•Pet Insurance
•Remote Work
•Healthcare
•401k
•Equity
•Unlimited Pto
•Parental Leave
•Pet Insurance
•Remote Work
Required Skills
SQL
Excel
R
Python
Tableau
Power BI
Data Analysis
Data Modeling
Financial Analysis
Project Management
Mentoring
Our Opportunity: We are looking for a Senior Merchandising Analytics Manager at our facility in Bellevue, Washington to lead the development of best-in-class analyses for evaluating promotional effectiveness with respect to financial performance, product assortment, site placement, and customer experience measures, partnering with senior cross-functional partners to clarify problem statements and scope.
What You’ll Do:
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Independently identify opportunities for application of advanced analytical solutions and models, ultimately deploying these solutions independently or with support from Business Analysts.
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Leverage large data sets and write advanced SQL code efficiently combining multiple sources to surface actionable insights that support Merchandising in making data driven decisions.
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Develop a centralized repository of insights on promotion performance and deliver recommendations to business partners for maximizing specific business outcomes.
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Program manage cross-functional analytics initiatives that require development
of new data tables and fields, data products, and tools for both internal and external stakeholders.
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Partner with business analysts and data engineering teams to prioritize and QA development of new data sources, tables, metrics and products.
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Support Merchandising leadership in understanding and influencing business inputs to drive favorable outputs across customer experience and financial metrics. Intake, translate, prioritize business partner inputs to inform new data products and enhance existing reports.
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Communicate findings and influence stakeholders at various levels.
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Lead, coach, and mentor business analysts to help them deliver results, develop analytical skillset, and grow their careers.
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Local telecommuting permitted up to 3 days per week.
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10% domestic travel required.
What You’ll Need:
-
Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Information Management, or related field and 6 years of experience.
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Will also accept a Master’s degree and 4 years of experience.
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Experience must include 4 years with the following: writing analytics and technical papers; and
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SQL, Excel, and various technologies such as R and Python.
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Experience must also involve the following: advanced data visualization skills using software, including Tableau and Power BI;
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Financial KPIs and P&L statement with proficiency in executing break-even analyses, NPV, and ROI analyses;
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Executing complex data analyses;
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Independently managing cross-functional projects, delivering high quality results on tight timelines;
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Ecommerce pricing and promotion KPIs;
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Executing complex and large-scale data analyses across millions of records;
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Communicating effectively with technical and non-technical stakeholders and senior leadership;
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Data warehousing and relational or columnar database structure;
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Creating mechanisms to monitor data integrity;
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Data analysis, data modeling, data visualization, forecasting, and ETL processes.
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Local telecommuting permitted up to 3 days per week.
-
10% domestic travel required.
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The position is eligible for the Employee Referral Program.
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Base Salary Range**$130,366—$176,000 USD**
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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About Chewy

Chewy
PublicA food database that provides personalized meal plans, food analytics, AI-based food discovery, and tracks fitness journey.
1-50
Employees
Chennai
Headquarters
$7.5B
Valuation
Reviews
2.9
25 reviews
Work Life Balance
2.1
Compensation
3.2
Culture
2.3
Career
3.1
Management
1.8
35%
Recommend to a Friend
Pros
Good pay and compensation
Career advancement opportunities
Regular raises and recognition
Cons
Poor management and leadership
Excessive work hours and workload
Lack of employee care and support
Salary Ranges
1,354 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Director
Junior/L3 · Business Intelligence Engineer I
1 reports
$133,383
total / year
Base
$115,766
Stock
-
Bonus
-
$133,383
$133,383
Interview Experience
12 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 0%
Neutral 58%
Negative 42%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
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