Position SummaryThe Manager, Data Analytics supports the development and implementation of data‑driven strategies to optimize business performance. Responsibilities include pricing, promotional strategies, market analysis, web analytics, and reporting, fostering cross‑functional collaboration to drive insights and decision‑making.What You’ll DoWe are seeking a Data Platform Lead to own and manage our GCP/BigQuery infrastructure, serving as the central point of accountability for all reporting and consumption datasets across the organization. This role is responsible for designing, optimizing, and governing our data platform to ensure high‑quality, reliable, and performant data assets are available to stakeholders. The ideal candidate brings strong analytical skills with meticulous attention to detail, ensuring data accuracy, consistency, and integrity across all downstream reporting. They will collaborate with cross‑functional teams to define data standards, implement best practices for data modelling and pipeline development, and drive continuous improvement in how we surface insights to the business. A deep understanding of BigQuery architecture, cost optimisation, and data governance principles is essential for success in this role. The Manager may identify gaps in reporting infrastructure, implement best practices, and introduce automation. Training and supporting other departments in self‑service reporting and maintaining vendor relationships for analytics tools are also key responsibilities. Cross‑functional collaboration is essential, working with all business units to ensure alignment and integration of analytics initiatives. The Manager may present data and recommendations to senior leadership and stakeholders,



ensuring data‑driven decision‑making across the organization.QualificationsGCP and BigQuery architecture expertiseData modelling (dimensional and consumption‑layer design)ETL/ELT pipeline developmentSQL and query performance optimisationCost optimisation and resource management in BigQueryCloud‑native data engineering best practicesLeadership ExpectationsRespect the Individual: Demonstrates and encourages respect for all; builds a high‑performing team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace andexperiences where all associates feel seen, supported and connected through a culture of belonging so associates thrive and perform; drives a positiveassociate and customer experience for all; identifies, attracts and retains the best team members.Creates a discipline and focus around developing talent, through feedback, coaching, mentoring and developmental opportunities; promotes an environmentallowing everyone to bring their best selves to work; empowers associates andpartners to act in the best interest of the customer and company; and regularly recognises others’ contributions and accomplishments.Builds robust and trusting relationships with team members and business partners; works collaboratively and cross‑functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence and inspire commitment and action.Acts With IntegrityMaintains and promotes the highest standards of integrity,



ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart’s goalof becoming a regenerative company by making a positive impact for associates, customers and the world around us.Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environmentwhere associates feel comfortable sharing concerns and reinforces our culture of non‑retaliation; listens to concerns raised by associates; takes action and encourages others to do the same; holds self and others accountable for achieving results in a manner consistent with our values.Acts as an altruistic servant leader and is consistently humble, self‑aware, honest and transparent.Serve Our CustomersDelivers expected business results while putting the customer first and consistently applying an omni‑merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers.Adopts a holistic perspective that considers data, analytics, customer insights and different parts of the business when making plans and shaping the team’s strategy.Strive For ExcellenceConsistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation and learning from mistakes, and intelligent risk‑taking; and exhibits resiliencein the face of setbacks.Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.Pay Range$91,900.00 – $126,390.00. Pay will be determined based on relevant experience.Minimum QualificationsAge – 16 or olderPreferred QualificationsWalmart will accommodate the disability‑related needs of applicants and associates as required by law.Primary Location1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada#J-18808-Ljbffr

📌 Manager, Data Analytics - Engineering & Platform - $91,900 - $126,390 A Year (Winnipeg)
🏢 Walmart
📍 Winnipeg