Jobs at Pattison Food Group

Analyzes complex datasets, develops statistical models and experiments, writes SQL and Python, and creates Power BI dashboards to deliver actionable business insights. The role supports reporting, data quality, workflow improvements, production troubleshooting, and data model enhancements while collaborating with engineers, analysts, and business stakeholders.

Build and maintain scalable data pipelines and lakehouse solutions using Databricks, Spark, Python/PySpark, Scala, SQL, Delta Lake, and Azure Data Factory. Develop analytical data models, orchestration, testing, governance, monitoring, and recovery processes. Optimize performance, reliability, scalability, and cost efficiency while supporting machine learning data feeds. Collaborate with technical and business partners, document solutions, troubleshoot production issues, and contribute to platform improvements.

Plans and maintains inventory across distribution centers and stores by establishing planning rules, creating replenishment purchase orders, executing allocations, and resolving stock exceptions. Collaborates with supply chain analysts, demand planners, warehouse teams, category managers, and suppliers to prevent stock-outs, manage excess inventory, address obsolescence, align forecasts, and account for distribution center capacity.

Leads finance integration across business and technology initiatives, coordinating requirements, controls, reporting, data, systems, testing, cutover, readiness, and stabilization. The role manages finance workstreams, PeopleSoft configurations, chart of accounts mapping, reconciliations, financial controls, issue resolution, risk tracking, stakeholder coordination, and transition activities. Candidates need substantial finance or accounting experience, ERP or business integration experience, strong project coordination abilities, and advanced Excel skills.

Supports financial reporting, analysis, budgeting, forecasting, reconciliations, period-end close, and long-term planning. Identifies business trends, risks, and opportunities; prepares variance analyses and management reports; maintains accurate records and internal controls; improves financial processes; and partners with Finance and operational stakeholders. Provides ad hoc analysis, guidance, knowledge sharing, and cross-training while ensuring accurate and timely deliverables.

Provides advanced enterprise infrastructure support and modernization, resolving complex server, network, and systems issues. Responsibilities include designing upgrades and migrations, optimizing reliability and performance, leading infrastructure projects and incident response, developing automation scripts, mentoring team members, and collaborating with architecture and security teams. The role also participates in on-call rotations and supports compliance, documentation, and continuous service improvement.

The Decision Science Analyst will support data-driven projects, conduct statistical experiments, automate workflows using SQL and Python, and develop insights and dashboards for business improvement.

Responsible for technical direction and implementation of data integration platforms, supporting and maintaining systems, and mentoring team members.

Design and deliver enterprise-scale intelligent automation and AI solutions across Retail, Finance, and Supply Chain. Evaluate and select platforms (Azure AI, Copilot Studio, Databricks, open-source), design scalable, secure architectures and AI agents in Azure, run discovery workshops, prioritize automation opportunities, build business cases, establish architecture standards and governance, and partner with cross-functional teams to ensure adoption, operational readiness, and continuous improvement.

Lead analytics and experimentation for the More Rewards loyalty program. Design and run A/B and multivariate tests, build data pipelines and predictive models using SQL and Python, create Power BI dashboards, collaborate with stakeholders and data engineers, mentor analysts, and deliver actionable insights from large, cloud-based datasets.