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Senior Manager, Advanced Analytics - Merchandising…
- Walmart (Bentonville, AR)
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Position Summary...
What you'll do...
Business Partnerships at Walmart play a crucial role in enabling strategic decision-making, driving transformation, and delivering measurable business impact. We support senior leadership across the enterprise with data-driven insights, advanced analytics, and actionable recommendations to solve some of Walmart’s most complex challenges.
We are looking for a strategic, people-first leader who is equipped to advance AI implementation and adoption in the Merchandising function at Walmart. This individual will collaborate cross-functionally to help shape the future of how we deliver business value through analytics, modeling, and innovation.
What you'll do...
+ Consult with senior leadership (Directors, Sr. Directors) to understand functional goals, surface key business challenges, and define metrics for success.
+ Translate ambiguous problems into clear strategies, leveraging data and analysis to develop business-aligned solutions.
+ Lead and develop a high-performing team of analysts and managers, mentoring talent, fostering engagement, and promoting a culture of growth and inclusion.
+ Own end-to-end execution of complex, strategic projects within business areas, ensuring alignment with corporate goals and measurable outcomes.
+ Build and implement advanced data models and algorithms that inform strategic decisions and drive business performance.
+ Develop and iterate on proof-of-concept prototypes, collaborating with cross-functional teams including data science, engineering, and business stakeholders.
+ Provide thought leadership on data collection and advanced analytics approaches, anticipating trends and influencing long-term strategies.
+ Work closely with internal partners and external vendors to co-create scalable, innovative business solutions.
+ Champion continuous improvement by promoting the use of digital tools, new ways of working, and analytical best practices.
Preferred qualifications:
Business & Analytics Expertise
+ Strategic Consulting, Business Analysis, Advanced Analytics, Project Management
+ Experience in stakeholder management and working directly with senior executives
+ Experience in applied data science and/or large language model implementation.
Tools & Technologies
+ Analytics: Excel, SQL, Tableau, Python/R, Git, BigQuery, Airflow
+ Modeling: Machine Learning, Optimization, Forecasting
+ Platforms: GCP, AWS, Hadoop, Spark
Techniques & Methods
+ Business Strategy, Data Modeling, Statistical Analysis, Decision Analytics, Predictive Modeling
Benefits; Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices .
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart (https://bit.ly/3iOOb1J) .
The annual salary range for this position is $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
_Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._
Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years'
experience in data analytics or related field.
Preferred Qualifications...
_Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._
Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R)
Masters: Business Administration, Masters: Information Systems, Masters: Statistics
Primary Location...
601 Respect Dr, Bentonville, AR 72716, United States of America
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
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