(USA) Senior Manager, Data Analytics
About The Position
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 data sourcing, quality management, advanced analytics, and visualization to translate complex data into actionable solutions. The position involves guiding cross-functional teams, mentoring associates, and collaborating with stakeholders to align analytics initiatives with organizational goals. The successful candidate will apply technical proficiency and business acumen to enhance decision-making, promote data governance, and support continuous improvement within a dynamic enterprise environment. The Product Analytics team applies advanced AI-driven data science and experimentation to enhance omnichannel products and features. Combining expertise in product strategy, measurement, and visualization, the team delivers actionable insights aligned with business objectives. Collaborating across functions, members utilize analytics and project management skills to test, measure, and launch innovative solutions. Focused on rigorous AI-enabled analysis, continuous improvement, and clear communication, the team drives impactful outcomes in a dynamic, data-centered environment that supports informed decision-making and business growth.
Requirements
- Extensive experience in data analytics, including big data technologies and advanced statistical techniques.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge 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 exploratory data analysis, data modeling, and database technologies including SQL and NoSQL.
- Proven leadership skills in mentoring teams and driving cross-functional collaboration.
- Excellent communication skills to present insights and influence stakeholders effectively.
- 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.
- 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.
- 6 years' experience in data analysis, data science, statistics, or related field.
- 1 year's supervisory experience.
Nice To Haves
- 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
Responsibilities
- Identify and assess data sources aligned with business requirements and service level agreements.
- Perform initial data quality checks and manage ongoing data quality improvement initiatives.
- Translate complex business problems into data-driven analytical solutions using advanced techniques and tools.
- Design and implement effective data visualizations to communicate insights and influence stakeholders.
- Develop and execute data strategies that unlock business value and support enterprise data governance.
- Mentor team members on analytics methods, data storytelling, and best practices.
- Collaborate cross-functionally to align analytics initiatives with organizational goals and priorities.
Benefits
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption expense reimbursement
- Surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
