Senior Manager, Advanced Analytics

Walmart•San Bruno, CA

22h•Onsite

About The Position

The Senior Manager, Advanced Analytics will develop data models (algorithms, approaches) for multiple projects within a business area or category to drive business results and value. This role involves collaborating with project teams to implement modeling solutions, managing the development and implementation of prototypes and production-ready complex algorithms, and overseeing the testing and validation process. The position also requires collaborating with Advanced Analytics Experts to develop new data analysis techniques and applying advanced analytics to address unique business and technical problems to support data-driven decision making. The Senior Manager will make strategic recommendations to analytics leadership, support the development of data analysis strategies, and collaborate with functional leadership and cross-functional teams to develop consultative solutions. This role involves daily interaction and collaboration with external business partners and vendors. The Senior Manager will drive the execution of multiple business plans and projects by identifying customer and operational needs, developing and communicating business plans and priorities, removing barriers, providing resources, setting performance standards, measuring progress, and developing contingency plans. Additionally, this role includes providing supervision and development opportunities for associates through selection, training, mentoring, assigning duties, building a team-based work environment, setting performance expectations, conducting evaluations, providing recognition, coaching, and ensuring diversity awareness.

Requirements

Master's degree or equivalent in Business, Finance, Accounting, Statistics, or related field and 2 years of experience in data analytics or related field; OR Bachelor's degree or equivalent in Business, Finance, Accounting, Statistics, or related field and 4 years of experience in data analytics or related field.
Experience writing optimized SQL queries in Big Query, GCP, and Dataiku cloud data platforms for Data mining, ETL processes, and synthesizing millions of records of structured and unstructured data.
Experience mining, analyzing, and interpreting data using statistical techniques, including univariate analysis, bivariate analysis, and correlation.
Experience coding in an object-oriented programming language for data transformations, including Python and R.
Experience developing and testing machine learning models that use Random Forest, Neural Network, XG Boost, Logistic Regression, and Gradient Boosting.
Experience using Microsoft Excel to manipulate, analyze, and present data using the following functions: VLOOKUP, index, match, and SUMIFS.
Experience creating decks using Microsoft Power point to create business case illustrating customer behavior, sales trends, and opportunities.
Experience documenting the code, methodologies, and projects using GitHub, Confluence, and SharePoint.
Experience providing recommendations from analytics to stakeholders.
Experience ideating data science product concepts and building, testing, and putting into production end-to-end frameworks.

Responsibilities

Develops data models (algorithms, approaches) for multiple 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 multiple projects.
Manages the testing and validation process to monitor the solution.
Collaborates with Advanced Analytics Experts to develop new data analysis techniques.
Manages the development and application of advanced analytics to address unique business and technical problems, and support data-driven decision making.
Makes strategic recommendations to analytics leadership based on data analysis.
Supports more experienced team members with the development of data analysis strategies; participates in strategy development conversations.
Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for multiple projects for a business area, category or prototype.
Interacts on a daily basis and collaborates 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.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness.