Manager, Advanced Analytics

Walmart•San Bruno, CA

3d•$133,952 - $202,000•Onsite

About The Position

This role is responsible for owning workstreams and individual analytics projects end-to-end for a business area, category, or prototype. The position involves analyzing large-scale retail, eCommerce, supply chain, merchandising, and customer data to identify business requirements and translate them into technical specifications. The individual will work with structured and unstructured datasets in enterprise data platforms and cloud-based environments to support operational decision-making, inventory optimization, customer experience initiatives, and business intelligence reporting. Specific responsibilities include managing Extended Lookback Window reports, automating Price Movement Analytics reports, and leading projects to determine the incremental effect of ads on rollback projects, as well as ensuring report quality for clients. The role also involves assisting with implementation risks and scaling reports using cloud technology or internal technical clusters with PySpark. Additionally, the position requires designing and implementing data models, coordinating job-related activities, providing ad-analytics and performance analytics, supporting business plans, and managing stakeholder relationships. The role will own analytics on supplier-related questions, primarily in the Entertainment, Seasonal, Toys, and Wireless categories. It also includes researching and assessing new statistical techniques, machine learning approaches, cloud-based analytics platforms, AI technologies, and data visualization tools for business applications, and recommending innovative analytical solutions. The Manager will collaborate with leadership to understand goals and challenges, develop hypotheses, and define analytics objectives and research plans. The role will deliver analytical insights and recommendations for customer experience, omnichannel retailing, and merchandising optimization initiatives, and collaborate with cross-functional teams to implement analyses and verify hypotheses through statistical tests like A/B testing. Finally, the position involves advising on next steps based on insights and presenting actionable recommendations to Directors to inform strategic and tactical initiatives, and supporting business solutions by building relationships with leadership and stakeholders.

Requirements

Experience with extracting data out of complex SQL databases.
Experience with building fully functional dashboards using Tableau and providing live information.
Experience with coding in Python for data manipulation and building automated reports.
Experience with analyzing data and providing insights and recommendations using Microsoft Suite.
Experience with designing A/B testing and providing incrementality results for marketing campaigns.
Experience with leveraging Cloud Computing Platforms like Google Cloud Platform to store and extract data.
Experience with understanding business problems and formulating solutions based on technical requirements.
Experience with managing stakeholders for campaign measurements and providing insights and analytics based on campaign results.
Master’s degree or the equivalent in Business, Finance, Accounting, Statistics, Data Science, or related field; OR Bachelor’s degree or the equivalent in Business, Finance, Accounting, Statistics, Data Science, or related field and 2 years of experience in data analytics or related field.

Responsibilities

Owns workstreams and individual analytics related projects end-to-end for a business area, category, or prototype.
Analyze large-scale retail, eCommerce, supply chain, merchandising, and customer data to identify business requirements and translate them into technical specifications.
Work with structured and unstructured datasets stored in enterprise data platforms and cloud-based environments to support operational decision-making, inventory optimization, customer experience initiatives, and business intelligence reporting.
Manage Extended Lookback Window reports, automation for Price Movement Analytics reports, and projects to determine incremental effect of ads on rollback projects, as well as ensuring report quality that is sent to the clients.
Help with risk associated with implementation. If there are any issues with implementation of said reports, like scaling the report for use for multiple teams, members or cross functional orgs, use technical knowledge to scale it up using cloud tech or internal technical clusters using PySpark.
Design and implement logical and physical data models to support analytics, reporting, forecasting, and operational applications.
Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders.
Provide detailed ad-analytics and performance analytics based on stakeholder questions and issues and answer them using technical and non-technical skills.
Supporting plans and initiatives to meet customer and business needs; providing detailed ad-analytics and performance analytics based on stakeholder questions and issues and answer them using technical and non-technical skills.
Owns complete end-to-end analytics on supplier related question and field, primarily working in Entertainment, Seasonal, Toys and Wireless categories.
Research and assess new statistical techniques, machine learning approaches, cloud-based analytics platforms, artificial intelligence technologies, and data visualization tools for potential business applications.
Recommend and implement innovative analytical solutions that improve decision-making capabilities and operational efficiency.
Use business knowledge from these categories to provide context on performance and metrics, as well as create KPIs based on the specific businesses to assess performance and maintain stakeholder relationships.
Works with leadership/business partners 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.
Deliver analytical insights and recommendations for initiatives involving customer experience, omnichannel retailing, merchandising optimization.
Collaborate with cross-functional teams to implement analysis and research, and verify hypothesis by conducting statistical test and analysis like A/B testing.
Advises on next steps based on objective insights 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.