\\\\Position Summary...\\\\ The Senior Manager, Data Analytics, leads the development and execution of data strategies that drive business insights and operational excellence. This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring teams, ensuring data quality, and collaborating across functions to align analytics initiatives with organizational goals. The successful candidate will apply rigorous analytical methods and foster continuous improvement to support informed decision-making and deliver measurable business value. About the team: The Global Audit Data Analytics Team within Global Technology Audit collaborates with audit and business units to identify and mitigate risks through advanced data analytics and strategic insights. The team applies expertise in data strategy, statistical modeling, and visualization to enhance decision-making and operational efficiency. Focused on data quality and innovative solutions, members support Walmarts mission of delivering value. Utilizing analytical tools and business intelligence, the team drives continuous improvement and operational excellence, enabling informed actions that uphold Walmarts commitment to efficiency and integrity. \\\\What you'll do...\\\\ \\+ Identify and assess appropriate data sources aligned with business requirements and service level agreements to ensure data fitness for purpose. \\+ Formulate technical solutions by translating business problems into data-driven approaches using advanced analytics and automation techniques. \\+ Design and implement advanced data visualizations to communicate complex insights effectively, tailoring presentations to stakeholder needs. \\+ Develop and execute data strategies that maximize business value while ensuring compliance with data quality, governance, and security standards. \\+ Lead data quality management initiatives, including profiling, cleansing, and monitoring to maintain high data integrity. \\+ Mentor team members, fostering skill development and promoting continuous improvement in analytics practices. \\\\What you'll bring:\\\\ \\+ Extensive experience in data analytics, including big data technologies such as Apache Spark and NoSQL databases. \\+ Proficiency in Python programming for data analysis, visualization, and automation. \\+ Strong understanding of data quality management, data governance, and enterprise data architecture principles. \\+ Ability to translate complex business problems into data-driven solutions aligned with strategic objectives. \\+ Expertise in developing and implementing data strategies that unlock business value and support decision-making. \\+ Skilled in advanced data visualization tools and techniques to communicate insights effectively. \\+ Proven leadership in mentoring teams and driving performance through coaching and development. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. Your Career Journey at Walmart At Walmart, we want to make sure your experience connecting with us is seamless and straightforward. Heres what to expect when interacting with us as recruiters: 1\\. Well reach out via verified LinkedIn profiles or emails ending in @walmart.com. or @samsclub.com. 2. All job opportunities and applications are hosted on our official careers site: 3\\. There is no cost or payment required to apply or be considered for a position. If you have any doubts about a communication, feel free to visit our careers page to verify authenticity. Thank you for exploring opportunities at Walmart! 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 . 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, Masters 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 \\\\Primary Location...\\\\ 905 Customer Dr, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. 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.

Candidates require a Bachelor's degree in a related field and 4 years of experience in data analysis, data science, or statistics. Alternatively, a Master's degree in a related field with 2 years of experience, or 6 years of experience in data analysis, data science, or statistics along with 1 year of supervisory experience is acceptable. Proficiency in big data technologies like Apache Spark and NoSQL databases is necessary. Strong skills in Python for data analysis, visualization, and automation are required, as is a solid understanding of data quality management, data governance, and enterprise data architecture principles. The ability to translate complex business problems into data-driven solutions and expertise in advanced data visualization techniques are also essential.