Data Analyst

ROLE: Data Analyst

REPORTS TO: VP of Supply Chain and Strategic Sourcing   

LOCATION: Burnaby, BC

At Agrifoods, we are in the middle of a major digital transformation—moving to NetSuite and modernizing how we manage data, reporting, and decision-making across the business. This role is a mix of data analytics and systems analysis: you'll help deliver a successful implementation (data validation, migration support, reporting, testing) and then transition into ongoing reporting enablement, governance support, training, and continuous improvement.

Opportunities 

You'll thrive here if you enjoy being the "voice of data," love solving messy problems, and want to own work end-to-end—from requirements through build, testing, rollout, and adoption. The main challenge is to optimize process through technology while working with active constraints. However, this provides opportunities to be a part of an amazing team as we embark on our digital transformation journey.

Here is who you are… 

Drive & motivation

• You enjoy being a part of the team and helping others grow.

• You take accountability and ownership of your work.

• You are knowledge hungry and can think outside the box to come up with creative solutions.

Character & ABILITIES 

• You the ability to work individually as well as part of a team

• You have a proven ability to manage & support business systems 

• You have good analytical skills and are comfortable working with data

• You have strongly developed negotiation abilities

• You have project management experience involving multiple stakeholders  

Knowledge & skills

• You have good attention to detail

• You have excellent analytical and troubleshooting skills

• You have strong communication and presentation skills 

Experience

• Bachelor's degree or College Diploma in Computer Science/IT/Engineering/Business

• You have at least 3 years of progressive experience in working with business systems

• You have at 1 year of Supply chain or similar experience 

• Power BI reporting 

• Knowledge with integration of 3rd party applications

• Able to manage, troubleshoot and support API connections and integrations between platforms

• Technology and Languages: NetSuite, Suite Script, Suite Talk, Suite lets, REST lets, , , , SQL.

• You have excellent computer skills, advanced knowledge of excel & experience with ERP (Oracle NetSuite)

Nice-to-Have 

• Any Supply Chain certification 

• Microsoft Power BI certification

• Advanced Excel Skills

things you will do… 

• Develop yourself into becoming the Master User of the data that we currently use and will use in future

• Supporting Data cleansing, gathering data, uploading, and building reports. 

• Develop automated KPI reporting to give business timely visibility and the ability to make decision.

OTHER … 

You might need to work flexible hours based on business needs

Detailed Description of Duties:

During NetSuite Implementation (Project Delivery) 

• Support data collection, cleansing, mapping, and validation for migration activities (master data and transactional data as required). 

• Support cutover and hyper care: monitor issues, triage root causes, and coordinate resolution with internal teams and implementation partners. 

• Gather and document requirements for reporting, dashboards, and operational insights; translate needs into clear specs. 

• Build and refine reports/dashboards in: 

• NetSuite Reporting 

• NetSuite Analytics Warehouse (NSAW) 

• Support downstream reporting for Power BI / Tableau where applicable 

• Support integration and reporting feed validation (e.g., ensuring data lands correctly for analytics and planning). 

• Contribute to the foundations of data governance: definitions, owners/stewards, standards, and quality checks. 

• Assist with change management and communications: ensure changes are documented, tested, approved, and communicated. 

 Post-Implementation (Ongoing Support & Optimization) 

• Maintain and enhance reporting in NetSuite + NSAW; develop new dashboards and self-serve reporting patterns. 
• Support ongoing data quality: monitoring, exception reporting, root cause analysis, and recommendations. 
• Help keep master data aligned with governance standards (requests, approvals, documentation, audits). 
• Support end-user enablement through training, job aids, SOPs, and "how-to" guidance. 
• Identify opportunities to reduce manual workarounds and improve process and reporting efficiency.