What you'll do...

Position: Senior Manager, Data Analytics

Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089

Duties: Guide payment initiatives to enhance the partner settlements platform, and mitigate financial, reputation, and regulatory impact with a focus on a better seller and customer experience. Build analytical solutions for marketplace payments leveraging scientific approaches involving statistical models and feature engineering in partnership with the Data Science team. Monitor and enhance solutions regularly to accommodate changes in risk trends. Analyze the performance and business impact of payments risks related predictive data-science models. Build and implement risk rules/strategies to detect and mitigate losses due to fraud and performance issues using business rule engines and artificial intelligence tools. Work on various payments related data marts and large datasets to identify insights from data and help make decisions on payments and risk fronts using SQL. Perform high-end data analysis to support various business functions using data analytics tools (Python, R, SAS, and MS Excel). Design, maintain, and track portfolio key performance indicators and metrics using data visualization tool Tableau and provide updates to business leadership regularly. Create and implement robust risk policies and processes by collaborating cross functionally with Trust and Safety, Performance, and Legal. Implement recovery mechanisms and investigation procedures partnering with operations. Collaborate closely with Engineering and Product partners on prioritization and execution of payments roadmap. This position does not supervise other employees.

Minimum education and experience required: Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field and 4 years of experience in data analysis, data science, statistics, or related field; OR Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Finance or related field and 2 years of experience in data analysis, data science, statistics, or related field.

Skills required: Experience writing complex queries using SQL. Experience coding in Python. Experience making elaborate visualizations using Tableau. Experience using R for predictive modeling. Experience building Machine Learning based solutions. Experience engaging in statistical analysis. Experience conducting business analysis. Experience designing and evaluating A/B tests. Experience using Hadoop to work on Big Data. Experience managing payments and seller risk. Employer will accept any amount of experience with the required skills.

Salary Range: $172,170/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.

#LI-DNI #LI-DNP

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.