Position Summary and what you'll do in this role:
The Walmart US eCommerce Marketplace team empowers sellers worldwide to reach millions of buyers. The seller-fulfilled business within Walmart Marketplace is a key part of scaling e-commerce. We build products that connect sellers across the world to buyers shopping in our marketplace, enabling access to our customers to over 350M+ items, and growing selection. Excellence in the end-to-end shipping and delivery experience is the cornerstone of our promise to our sellers and buyers. As a Senior Manager of Data Analytics, you will be instrumental in launching our Machine Learning models and automation initiatives. You'll translate complex data into actionable insights, shape data science roadmaps, , and ultimately improving seller and buyer experience. This role sits at the intersection of Data Science, Analytics, Technology, and Product Management, offering high visibility and the opportunity to directly impact Walmart's eCommerce success. You'll build and scale analytics frameworks, fostering a data-informed culture and influencing strategic decisions at all levels.
You’ll make an impact by:
Conduct Backtesting & Simulation: Partner with data science team to conduct back-testing and simulation exercises prior to launch of new features and products. Conduct what-if scenarios to drive data-based decision making.
Optimize Delivery Promises: Identify opportunities of improvement in driving delivery promise accuracy. Develop and implement A/B testing strategies to enhance customer experience.
Building Comprehensive Analytics Frameworks: Develop and maintain robust analytics dashboards and reports to track key delivery performance metrics. Utilize data visualization tools to communicate insights effectively to stakeholders.
Conducting Deep-Dive Analyses: Proactively analyze delivery performance to identify trends, patterns, and opportunities for growth.
Designing and Implementing Experiments: Develop and execute A/B tests and other experiments to measure the impact of new data-science models. Utilize statistical techniques to analyze results and draw meaningful conclusions.
Collaborating with Cross-Functional Teams: Partner with data science, product, business, and tech teams to ensure data-driven decision-making across the organization.
Translating Data into Actionable Insights: Communicate complex data insights in a clear and concise manner to stakeholders at all levels, including senior leadership.
Developing Predictive Models: Utilize machine learning and statistical modeling techniques to forecast trends, predict customer behavior, and identify potential risks and opportunities.
Ensuring Data Integrity and Governance: Maintain data quality and consistency by adhering to data governance standards and best practices. Design data models and build pipelines/structure which follow data governance standards and facilitate seamless, timely and fast reporting reducing time to insights.
Support Weekly, Monthly and Quarterly Business review with a focus on actionable insights that influence short, mid-term and long-term strategy.
You’ll sweep us off our feet if:
You have a proven track record of building data science and analytics models.
You possess strong analytical and problem-solving skills, with a keen attention to detail.
You have experience with predictive models (XG boost, Neural Networks, Random Forest etc.)
You are proficient in SQL, Python, R, or other data analysis tools.
You have experience with data visualization tools such as Tableau or Power BI.
You are a self-starter with a strong sense of ownership and a passion for data-driven decision-making.
You thrive in a fast-paced, dynamic environment and are comfortable with ambiguity.
You have excellent communication and presentation skills, with the ability to influence stakeholders at all levels.
You have a startup mentality: scrappy, creative, drive, and passion to be best-in-class
You move fast, with a builder mindset, learning and iterating.
You are stimulated by challenges and are ready to engage at Fortune 1 scale.
You are skilled at engaging and communicating with senior leaders both internal and external.
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.
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.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.1 year's supervisory experience.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experiencePrimary Location...702 Sw 8Th St, Bentonville, AR 72716, United States of America