(USA) Senior Manager, Data Analytics

Position Summary...

What you'll do...

We are seeking a dynamic and experienced Senior Manager of Data Analytics to lead and execute our data strategy and initiatives with a specific focus on Contact Operation. The ideal candidate will have extensive knowledge in data analytics, business understanding, and data management. This role will be critical in driving data-driven decision-making across the organization by transforming data into actionable insights for business owners, ensuring the highest standards of data quality and governance, and collaborating with cross-functional teams to align data initiatives with business objectives.

Key Responsibilities

Data Source Identification: Identify suitable data sources, perform initial data quality checks, and prioritize requirements.
Understanding Business Context: Translate business requirements into strategic initiatives, build business cases, and drive business impact
Data Visualization and Storytelling: Recommend and utilize appropriate visualization tools, generate graphical representations, and present data stories that clearly communicate insights to business leaders.
Actionable Insights: Transform data into actionable insights that drive decision-making and strategic initiatives across the organization, with a specific focus on Contact and Operation Excellence.
Exploratory Data Analysis: Apply statistical techniques, conduct experiments, and guide junior members in data tools.
Data Quality Management: Develop data quality strategies, implement Data Quality Management (DQM) procedures, and lead data quality initiatives.
People Leadership: Lead and develop a high-performing data analytics team through effective mentoring, training, and performance management.
Collaboration: Work closely with cross-functional teams, including IT, marketing, finance, and operations, to ensure alignment of data initiatives with business objectives.

Preferred Qualifications

Education: Bachelor’s degree in business Analytics, Computer Science, Statistics, or related field; master’s degree preferred.
Experience: Minimum of 5 years of experience in data analytics, with 3 years’ supervising experience.
Skills:
- Proficiency in data analytics tools (e.g., SQL, Python, R).
- Expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
- Strong understanding of data management and governance.
- Excellent problem-solving and analytical skills.
- Ability to translate complex data into clear, actionable insights for business leaders.

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.

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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.

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For information about PTO, see https://one.walmart.com/notices.

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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.

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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.

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For information about benefits and eligibility, see One.Walmart.

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The annual salary range for this position is $90,000.00-$180,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- Stock

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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 experience