Senior Manager, Advanced Analytics

Walmart • Bellevue, WA

22h • Onsite

About The Position

What you'll do... Position: Senior Manager, Advanced Analytics Job Location: 10900 NE 4th Street, Floor 8, Bellevue, WA 98004 Duties: Consults with senior leadership and 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. Focuses efforts on items that have maximum impact to the business. Contributes to business area strategic planning by providing input and actionable recommendations and solutions to senior leadership based on advanced research and analytical findings. 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 and managers. Owns complex projects end-to-end for a business area, category or prototype. Manages risk associated with implementation. Develops data models (algorithms, approaches) for complex 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 complex projects. Manages the testing and validation process to monitor the solution. Evaluates new data analysis techniques to support prototype development. Collaborates with cross-functional partners (e.g., software engineering, category management) on prototypes and algorithms. Leads the development and execution of advanced analytics to address unique business and technical problems, and support data-driven decision making. Makes strategic recommendations to cross-functional leadership based on analysis results. Collaborates across all analytics functions to develop and implement data analysis strategies and anticipate future trends and analysis. Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for complex projects for a business area, category or prototype. Collaborates and partners with external business partners and vendors. Drives 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. This position does not supervise employees. Minimum education and experience required: Master's degree or the equivalent in Business, Finance, Accounting, Statistics, Financial Engineering, or related field and 2 years of experience in data analytics or related field; OR Bachelor's degree or the equivalent in Business, Finance, Accounting, Statistics, Financial Engineering, or related field and 4 years of experience in data analytics or related field. Skills required: Experience with data storing, processing, and automation in relational databases using SQL, Hive, Hadoop, and MapReduce. Experience building regression models and casual inference models in the Python programming language. Experience with predictive modeling using machine learning models to segment customers and optimize spend. Experience with Machine Learning techniques including pattern recognition, predictive modeling, logistic regression, and cluster and segmentation analysis to forecast customer behavior and create strategies. Experience with R programming language to conduct parametric analysis, build statistical models, and automate reporting processes. Experience using data visualization tools, including Tableau and Looker, for Business Analysis and Reporting. Experience making recommendations on new user features using methodologies, including Hypothesis Testing, Experiment Design, A/B testing, Sampling, Randomization, Correlation and Causation analysis, switchbacks, Focus Groups, Surveys, Case Study Research, and Text Coding. Experience conducting data analysis and building forecasting models. Experience with Business Intelligence and Strategy building in the Retail Industry. Employer will accept any amount of experience with the required skills. Salary Range: $163,322/year to $216,000/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. About Walmart: Fifty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world's biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we're reinventing the shopping experience and our associates are at the heart of it. You'll play a crucial role in shaping the future of retail, improving millions of lives around the world. This is that place where your passions meet purpose. Join our family and create a career you're proud of.

Requirements

• Master's degree or the equivalent in Business, Finance, Accounting, Statistics, Financial Engineering, or related field and 2 years of experience in data analytics or related field; OR Bachelor's degree or the equivalent in Business, Finance, Accounting, Statistics, Financial Engineering, or related field and 4 years of experience in data analytics or related field.
• Experience with data storing, processing, and automation in relational databases using SQL, Hive, Hadoop, and MapReduce.
• Experience building regression models and casual inference models in the Python programming language.
• Experience with predictive modeling using machine learning models to segment customers and optimize spend.
• Experience with Machine Learning techniques including pattern recognition, predictive modeling, logistic regression, and cluster and segmentation analysis to forecast customer behavior and create strategies.
• Experience with R programming language to conduct parametric analysis, build statistical models, and automate reporting processes.
• Experience using data visualization tools, including Tableau and Looker, for Business Analysis and Reporting.
• Experience making recommendations on new user features using methodologies, including Hypothesis Testing, Experiment Design, A/B testing, Sampling, Randomization, Correlation and Causation analysis, switchbacks, Focus Groups, Surveys, Case Study Research, and Text Coding.
• Experience conducting data analysis and building forecasting models.
• Experience with Business Intelligence and Strategy building in the Retail Industry.

Responsibilities

• Consults with senior leadership and 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.
• Focuses efforts on items that have maximum impact to the business.
• Contributes to business area strategic planning by providing input and actionable recommendations and solutions to senior leadership based on advanced research and analytical findings.
• 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 and managers.
• Owns complex projects end-to-end for a business area, category or prototype.
• Manages risk associated with implementation.
• Develops data models (algorithms, approaches) for complex 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 complex projects.
• Manages the testing and validation process to monitor the solution.
• Evaluates new data analysis techniques to support prototype development.
• Collaborates with cross-functional partners (e.g., software engineering, category management) on prototypes and algorithms.
• Leads the development and execution of advanced analytics to address unique business and technical problems, and support data-driven decision making.
• Makes strategic recommendations to cross-functional leadership based on analysis results.
• Collaborates across all analytics functions to develop and implement data analysis strategies and anticipate future trends and analysis.
• Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for complex projects for a business area, category or prototype.
• Collaborates and partners with external business partners and vendors.
• Drives 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1-10 employees