Senior Manager, Advanced Analytics
- San Bruno, CA, United States
$174,512 to $234,000 USD / year
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Job details
- Pay
- $174,512 to $234,000 USD / year
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- Posting language
- English
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Original job description
This notice is being provided as a result of the filing of an Application for Permanent Alien Labor Certification. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210
What you'll do... Position: Senior Manager, Advanced Analytics
Job Location: 850 Cherry Avenue, San Bruno, CA 94066
Duties: Develop data models (algorithms, approaches) for analytics related projects within a business area or category to drive business results and value. Collaborate with project team to implement modeling solutions. Evaluate new data analysis techniques to support prototype development. Collaborate with cross-functional partners on prototypes and algorithms. Drive the development and execution of advanced analytics to address unique business and technical problems and support data-driven decision making. Make strategic recommendations to cross-functional leadership based on analysis results. Collaborate across all analytics functions to develop and implement data analysis strategies and anticipate future trends and analysis. Own complex projects end-to-end for a business area, category, or prototype. Manage risk associated with implementation. Drive the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Consult senior leadership/business partners to understand overall goals/functional objectives, decipher key business challenges, identify tactics to anticipate and mitigate business challenges/issues, and develop potential success criteria. Focus efforts on items that have maximum impact to the business. Contribute to business area strategic planning by providing input and actionable recommendations and solutions to senior leadership based on advanced research and analytical findings. Help with the development and implementation of prototypes and production-ready complex algorithms for complex projects. Manage the testing and validation process to monitor the solution. Collaborate with functional leadership and cross-functional teams to develop consultative solutions for complex projects for a business area, category or prototype. Collaborate and partner with external business partners and vendors. This position does not supervise employees.
Minimum education and experience required: Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 2 years of experience in data analysis, data science, statistics, or related field; OR Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics (any), Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 4 years of experience in data analysis, data science, statistics, or related field.
Skills required: Experience using SQL for analytics, including joins, CTE, window functions, and query optimizations. Experience using Python and R for statistical analysis, including data wrangling, modeling, and reproducible notebooks/scripts. Experience with Statistical Modeling, including Regression, Classification, Unsupervised learning, and diagnostics. Experience with measurement and attribution methodologies, including incrementality, MMM, and MTA. Experience with A/B Testing and Experimental Design, including Randomization, Power Calculation, and guardrails. Experience creating data visualizations and analytics storytelling using Tableau, Looker, Power BI, and Python Viz. Experience with Data Engineering Fundamentals, including ETL, data quality checks, and scheduling. Experience with Metric Definition and KPI governance. Experience translating business problems into analytical requirements, including written specs, hypothesis formulation, and analysis plans. Experience creating stakeholder-facing experiment/measurement readouts, including reviewing decks with results and preparing recommendations. Employer will accept any amount of experience with the required skills.
Salary Range: $174,512/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive 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, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
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.com.
Wal-Mart is an Equal Opportunity Employer.
Pay Rate... $0.00
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.