Position Summary...
What you'll do...
Position Summary and what you'll do in this role:
The Walmart US eCommerce Marketplace team builds products that connect sellers across the world to buyers shopping in our marketplaces, enabling access to our customers to over 350M+ items. Excellence in end-end shipping and delivery experience is the cornerstone of our promise to our sellers and buyers. As a Senior Manager of Insights and Analytics, you will be responsible for developing mechanisms and analytics to drive insights, applying business acumen and analytical mindset to separate signal from noise, to drive excellence in our Delivery Experience across our Seller Fulfilled network. This individual will be data owner and that sits at the intersection of Business, Product, Tech, UX Design and Research Science, will build and scale the adoption of customer/seller facing 0 to 1 products and businesses, and enjoy a fast-paced role with high visibility and impact as well as regular interactions with Walmart's top executives. This role will involve building and managing highly reliable and scalable products and services which will optimize delivery speed, and cost for our Worldwide Marketplace customers.
You’ll make an impact by:
- Partnering with internal and external stakeholders across product/business teams to build consistent, accurate data-driven roadmaps and strategy where-in we can measure outcomes with data.
- Proactively analyzing business performance, reporting insights in a uniform consumable format on a regular cadence and communicating actionable recommendations.
- Collaborating with stakeholders to developing and execute end-to-end data strategies focused on driving product adoption and seller services tool development
- Measure, track and analyze results, report progress, and optimize programs continuously.
- Developing standard analytical framework to measure and understand the impact of the changes (product, marketing campaigns, pilots etc.) which will include designing and analyzing traditional experiments, using quasi-experimentation techniques.
- Drive informed decision-making and ensures resolution of critical issues by partnering with senior leaders to identify goals, success criteria, assumptions, risks, and known issues within the business
- Use design-thinking principles to develop dashboards which drive actionable insights; train stakeholders to drive adoption for your reporting.
- Support Weekly, Monthly and Quarterly Business review with a focus on actionable insights that influence short, mid-term and long-term strategy.
- Ability to differentiate between leading vs. Lagging signals to help us get ahead of the problem and develop proactive strategies/plans.
- Bridge gap between data, product and business by connecting data to buyer/seller experience and business impact to clearly communicate the story behind the numbers.
- Developing solutions within business areas that reduce cost and meet business goals; prioritizing assignments; ensuring accuracy of business data; recommending program changes to stakeholders based on data; and persuading cross-functional teams and stakeholders to implement changes.
- Design data models and build pipelines/structure which follow data governance standards and facilitate seamless, timely and fast reporting reducing time to insights.
You’ll sweep us off our feet if:
- You use data to drive decisions, identify opportunities, and outcomes improving seller and buyer experience
- You have an operational mindset, have experience building analytics in the supply chain domain across delivery service providers for domestic and cross border.
- Startup mentality: scrappy, creative, drive, and passion to be best-in-class
- Self-starter with a strong attention to detail and an ability to deal with ambiguity
- Track record of delivering results and ability to demonstrate measurable impact to business and customer KPIs
- You are skilled at engaging and communicating with senior leaders both internal and external
- You are organized, disciplined, and can manage multiple projects simultaneously.
- You are stimulated by challenges and are ready to engage at Fortune 1 scale
- You move fast, with a builder mindset, learning and iterating.
Minimum Qualifications
- Bachelor’s degree in Business, Analytics, Statistics, or related field and 4 years’ experience in data analytics, project management, business, or related in an eCommerce, Marketplace or Supply Chain environment.
- Strong SQL (writing complex queries), Microsoft Excel, Tableau, Looker or other data analytics and visualization tools
Preferred Qualifications
- Masters: Business Administration; Economics; Statistics, Supply Chain or related area and 7+ years’ experience developing analytics and insights in an eCommerce, Marketplace or Supply Chain environment.
For information about PTO, see .
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 $117,000.00-$234,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum 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 experience