(USA) Director, Data Analytics

(USA) Director, Data Analytics

What you'll do at

Position Summary...

What you'll do...

Supply Chain at Sam’s Club is all about making and executing plans that help provide our Members with the product they want, where they want it, at the best price possible. To accomplish this, associates must be keen problem solvers, using data and experience to overcome complex challenges and drive efficiency. We invite you to join the Sam’s Club Supply Chain Team; a fast-moving group of highly motivated individuals with skills ranging from data analytics to strategy and execution.  Together we will design the supply chain of the future and improve our members’ lives.

What you’ll do

  • Data Source Identification: Requires knowledge of Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data.
  • Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause. Identify and recommend approach to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact.
  • Understanding Business Context: Requires knowledge of Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices.
  • Data Visualization: Requires knowledge of Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications. Define application design based on customer requirements. Build compelling stories based on context to integrate multiple pieces of information into cohesive insights. Present to and influence diverse audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding. Customize communication style based on stakeholders and leverages relationships to drive behavioral change. Guide and mentor junior associates on story types, structures, and techniques based on context.
  • Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability, etc.; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, interpret, and apply principles of the defined strategy to complex business problems. Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
  • Exploratory Data Analysis: Requires knowledge of relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, Oracle, Apache Mahout, MS Excel, Python; Statistical techniques (for example, mean, mode, median, variance, standard deviation, correlation, and sorting and grouping); Research analysis standards and activities; Documentation procedures such as drafting, editing, Bibliography format; Relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends. To promote the value of Knowledge Discovery in Data (KDD) for business managers. Identify and applies suitable KDD tool basis business requirement. Guide junior team members on tools and techniques. Stay abreast of best practices in KDD techniques. Test and evaluate multiple solutions, methods, and models to determine accuracy, validity, and applicability. Establish standards for application and interpretation of statistical data. Conduct statistical experiments (for example hypothesis tests, confidence intervals) and builds statistical models using packages like Statistical Analysis Systems (SAS). Design, write, and publish numerous research documents on diverse topics. Consult on complex situations to test hypotheses, anticipate pitfalls, prevent false conclusions, and advise others on avoiding them. Provide insights to the business based on research findings.
  • Data Quality Management: Requires knowledge of Data quality management techniques and standards; Business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To develop and evangelize data quality awareness. Determine data quality strategy, metrics, and business rules for a business domain to ensure that data is fit for purpose. Set and evaluate business domain data quality service level strategy. Design and implement operational Data Quality Management (DQM) procedures. Monitor operational DQM procedures and performance. Lead data quality initiatives to deliver increased business performance and effectiveness. Determine user accessibility and removes or restricts user access as needed. Provide recommendations to leadership on needed updates or inputs into data governance policies, practices, and guidelines.
  • Provides overall direction by analyzing business objectives and customer needs; developing, communicating, building support for, and implementing business strategies, plans, and practices; analyzing costs and forecasts and incorporating them into business plans; determining and supporting resource requirements; evaluating operational processes; measuring outcomes to ensure desired results; identifying and capitalizing on improvement opportunities; promoting a customer environment; and demonstrating adaptability and sponsoring continuous learning.
  • Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps; recruiting, selecting, and developing talent; supporting mentorship, workforce development, and succession planning; and leveraging the capabilities of new and existing talent.
  • Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy.
  • Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.


Live our Values
Culture Champion
• Models the Walmart values to foster our culture; holds oneself and others accountable; and supports Walmart’s commitment to communities, social justice, corporate social responsibility, and sustainability; maintains and promotes the highest standards of integrity, ethics and compliance.
Servant Leadership
• Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent
Embrace Change
Curiosity & Courage
• Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks.
Digital Transformation & Change
• Drives continuous improvements, supervises the adoption of new technology, and supports digital disruption in line with Walmart’s business model.
Deliver for the Customer
Customer Focus
• Delivers expected business results while putting the customer first and consistently applying an omni-merchant mindset and the EDLP and EDLC business models to all plans and initiatives.
Strategic Thinking
• Adopts a holistic perspective that considers data, analytics, customer insights, and different parts of the business when making plans and implementing strategies.
Focus on our Associates
Diversity, Equity & Inclusion
• Supports strategies and drives initiatives that attract and retain diverse and inclusive talent; builds high-performing teams; embraces diversity in all its forms; and actively supports diversity goal programs.
Collaboration & Influence
• Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates with energy and positivity to motivate, influence, and inspire commitment and action.
Talent Management
• Creates a discipline and focus around developing talent, builds the talent pipeline, fosters an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer and company, and regularly recognizes others’ contributions and accomplishments.

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 5 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 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' 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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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

Primary Location...

2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America

About Sam's Club

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Sam’s Club 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.
Merchandising Internship at Walmart
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Hello, NW Arkansas

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Discover NW Arkansas
Northwest Arkansas
NWA Crystal Bridges Museum of American Art

All the benefits you need for you and your family

  • Multiple health plan options, including vision & dental plans for you & dependents
  • Free Membership and discounts in fresh produce
  • Financial benefits including 401(k), stock purchase plans, life insurance and more
  • Paid education assistance with college degrees through our Live Better U program
  • Parental Leave
  • Pay during military service
  • Paid time off - to include vacation, sick leave and parental leave
  • Short-term and long-term disability for when you can't work because of injury, illness, or childbirth

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 specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com/Benefits.

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