Jobs at Pattison Food Group

Prepares journal entries, reconciliations, financial statements, variance analyses, and financial reports. Analyzes large Excel datasets to identify trends and business insights, supports month-end close, budgeting, forecasting, and performance measurement, and partners with Operations to resolve issues. Evaluates internal controls, recommends process improvements, and assists with financial projects and initiatives.

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.

Designs, implements, and supports DevOps solutions across software delivery, cloud infrastructure, and IT operations. Responsibilities include building CI/CD pipelines with GitHub Actions, automating infrastructure with Ansible and Terraform, optimizing Azure environments, managing Linux and Windows servers, operating Docker and Kubernetes workloads, and implementing monitoring with Nagios and Splunk. The role also involves scripting, troubleshooting, infrastructure modernization, SDLC improvement, and cross-functional collaboration.

Manage full-cycle, high-volume recruitment across retail, supply chain, and manufacturing environments. Partner with hiring managers to define needs, develop sourcing strategies, screen and interview candidates, build pipelines, and provide recruitment guidance. Ensure compliance with employment standards, human rights legislation, collective agreements, and company policies. Maintain recruitment data in Workday and tracking systems while supporting process improvements and delivering a positive candidate and hiring manager experience.

Develop and execute loyalty offer strategies across digital and omnichannel channels. Model commercial performance and redemptions, use customer insights and analytics to drive revenue, manage retail and CPG partnerships, lead go-to-market campaigns, and coordinate cross-functional delivery. The role also supervises a Loyalty Promotions Coordinator and presents campaign results to internal and external stakeholders.

Maintain and enhance enterprise database environments across Oracle, SQL Server, PostgreSQL, MySQL, and Azure. Provide level 2 and 3 support, performance tuning, upgrades, patching, high availability, disaster recovery, backup and recovery strategies, encryption, and ETL scripting. Collaborate with architecture, development, and infrastructure teams, troubleshoot critical incidents, document systems, mentor peers, and provide on-call support for mission-critical platforms.

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.