Manager, Yield Foundation

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What you'll do...

Position: Manager, Yield Foundation

Job Location: 850 Cherry Avenue, San Bruno, CA 94066

Duties: Translate/co-own business problems within one’s discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution for the problem. Share use cases and gives examples to demonstrate how the method would solve the business problem. Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work. Support the understanding of the priority order of requirements and service level agreements. Help identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance, and leverages rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. promote and educates others on data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver against data quality service level agreements. Manage operational Data Quality Management procedures. Manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determine user accessibility and removes or restricts user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in the planning, design and implementation of an exploratory data analysis research projects. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Use advanced Knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis (for example hypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites. Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Recognize and adapt to differences in background, culture, language and work style, when working with others. Communicate with other individuals or teams to solve shared problems cooperatively. This position does not supervise other employees.

Minimum education and experience required: Master's degree or equivalent in Data Science, Machine Learning, Computer Science, Mathematics, Operations Research, Economics, Statistics, Analytics (any), or related area; OR Bachelor's degree or equivalent in Data Science, Machine Learning, Computer Science, Mathematics, Operations Research, Economics, Statistics, Analytics (any), or related area and 2 years of experience in yield management, pricing strategy, business analysis, business planning, database management, optimization, or related area.

Skills required: Experience performing data extraction and analytics using SQL queries across BigQuery, Teradata, Microsoft Azure, and Databricks. Experience designing, deploying, and maintaining executive level self-serve and automated dashboards using Tableau and Power BI. Experience developing and optimizing end-to-end ETL pipelines by aggregating and joining data using Python, SQL, Dataproc, Airflow, R, and VBA. Experience working on REST API calls utilizing Python and R to fetch data from across the web for data analysis and modeling. Experience with strategy and analytics to derive actionable insights on business health from big data and report to leadership. Experience performing statistical analysis including regression, hypothesis testing, ML modeling, and forecasting. Experience fetching web analytics data and creating analytical reports from web platforms including social media, google analytics, and adobe analytics. Employer will accept any amount of experience with the required skills.

Salary Range: $117,000/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.  Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) and Stock equity 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.

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