Position: Manager, Advanced Analytics
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Owns workstreams and individual projects end-to-end for a business area, category or prototype. Manages risk associated with implementation. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and ensuring diversity awareness. Works with leadership/business partners (e.g., Directors) to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues; identifies functional analytics and research objectives and develops tactical research plans. Provides guidance to Directors and advises on next steps based on insights objectives and research. Presents actionable recommendations to Directors to inform strategic and tactical functional initiatives. Provides and supports the implementation of business solutions by building relationships and partnerships with leadership and other key stakeholders. Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices. Develops data models (algorithms, approaches) for workstreams and individual projects within a business area or category to drive business results and value. Collaborates with project team to implement modeling solutions. Manages the development and implementation of prototypes and production-ready complex algorithms for workstreams and individual projects. Manages the testing and validation process to monitor the solution. Collaborates with Advanced Analytics Experts to develop new data analysis techniques. Addresses complex business problems by applying advanced analytics to drive data-driven decision making. Makes strategic recommendations to team based on data analysis. Manages and executes data analysis strategy, providing guidance to less experienced team members. Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for workstreams and individual projects for a business area, category or prototype. Interfaces with external business partners and vendors. Builds and leads a team to execute on business area or category objectives. Coaches team members and provides feedback to enhance skills, knowledge and work performance. Conducts performance and career development conversations, if applicable. Maintains team motivation and engagement. Mentors less experienced associates.
Minimum education and experience required: Master’s degree or equivalent in Business, Finance, Accounting, Statistics, Data Science, or related field; OR Bachelor’s degree or equivalent in Business, Finance, Accounting, Statistics, Data Science, or related field and 2 years of experience in data analytics or related field.
Skills required: Experience using SQL to query and Python to process large amount of clickstream and transactions data from different databases to drive product centric as well as user centric insights. Experience performing statistical power analysis and hypothesis testing via statistical methodologies (ANOVA, T-test). Experience designing and executing A/B tests to identify and quantify the impact of different treatments. Experience creating effective reporting and dashboards using Tableau. Experience coding in Python to perform data wrangling and data mining using packages including Pandas. Experience defining and monitoring KPIs to measure product performance and monitoring product health. Experience implementing Machine Learning models in python to predict user behavior/propensity to convert. Employer will accept any amount of experience with the required skills.
Salary Range: $113,949/year to $202,000/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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