Walmart Canada · 7 hours ago
Senior Manager, Data Analytics
Walmart Inc. is a leading retail company that is seeking a Senior Manager in Data Analytics. The role involves translating business problems into data solutions, driving execution of business plans, and mentoring team members while ensuring compliance with company policies.
DeliveryRetailShopping
Responsibilities
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
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
Evaluate proposed business cases for projects and initiatives
Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables
Build and articulate the business case and return on investment and delivers work that has demonstrable value
Challenge business assumptions on topics related to one’s domain expertise
Mentor the team members on new business insights and allied developments
Proactively engage in the external community to build Walmart s brand and learn more about industry practices
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
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
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy
Identify and recommend the most suitable visualization tools based on context
Generate appropriate graphical representations of data and model outcomes
Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications
Define application design based on customer requirements
Build compelling stories based on context to integrate multiple pieces of information into cohesive insights
Present to and influence diverse audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding
Customize communication style based on stakeholders and leverages relationships to drive behavioral change
Qualification
Required
Master's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 2 years of experience in data analysis, data science, statistics, or related field; OR Bachelor's degree or equivalent in Business, Engineering (any), Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or related field and 4 years of experience in data analysis, data science, statistics, or related field
Experience designing and analyzing experiments using traditional A/B Testing (Hypothesis and Bayesian) and quasi-experimental methods
Experience architecting and building scalable reporting infrastructures using Tableau, Looker, Sigma, and PowerBI
Experience developing ETL data pipelines using Python and Cloud Platforms (Hadoop, GCP, AWS, and Snowflake)
Experience developing complex SQL queries, functions, and stored procedures for instrumentation
Experience developing Data Science Models (Predictive, Regression, Classification, and Clustering models) using Stats Toolkit
Experience building financial models for budgeting, forecasting, and cost analysis
Experience with robust data-informed strategic decision-making for marketplace business/product planning
Experience with logistics, operational efficiency, and supply chain optimization to improve operations with fulfillment centers, carriers, and shipping partners
Experience with Project Management, Prioritization, and Collaboration to work with broad, diverse teams using JIRA and Confluence
Experience spearheading cross-functional data initiatives and aligning diverse teams (engineering, product, marketing, and finance) to achieve strategic goals
Benefits
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.
Company
Walmart Canada
Walmart Canada is a subsidiary of Walmart that operates a chain of more than 400 stores nationwide. It is a sub-organization of Walmart.
Funding
Current Stage
Late StageRecent News
Packaging-Gateway.com
2026-02-04
Canada NewsWire
2025-12-18
Company data provided by crunchbase