[Hiring] Business Intelligence Analyst @Reesink Canada Holdings

Role Description

The Business Intelligence Analyst is an entry-level role that turns financial and operational data into clear, reliable information to support decision-making. Working under guidance from Operations, Finance and IT, the Data Analyst builds and maintains Power BI reports and dashboards, uses AI tools to support data extraction and presentation, and helps consolidate and analyze data from across the organization's operating companies. The position is remote and based in AB, SK, or MB.

Key Responsibilities:

• Reporting & Dashboard Development (Power BI):
  • Help build and maintain interactive Power BI reports and dashboards that present financial and operational data in clear, useful views.
  • Assist in developing data models, relationships, and measures (DAX) under the guidance of senior team members.
  • Help manage datasets, refresh schedules, and report updates to keep reporting reliable and current.
  • Support the use of standardized report templates and self-service reporting across the organization.
• Data Extraction, Integration & Automation:
  • Assist in extracting, transforming, and consolidating data from multiple financial and operational systems into analysis-ready datasets.
  • Help build and maintain repeatable data-preparation steps (e.g., Power Query) to reduce manual effort and improve consistency.
  • Use approved AI tools to support data extraction, cleansing, categorization, and the identification of patterns and anomalies.
  • Share ideas for AI and automation tools that could improve data extraction, analysis, and presentation.
• Financial & Operational Analysis:
  • Support the analysis of financial and operational data to identify trends, variances, and opportunities.
  • Assist in consolidating data across operating companies and branch locations to provide an accurate view of performance.
  • Track and report key performance indicators aligned with business objectives.
  • Contribute timely, accurate data to budgeting, forecasting, and performance reporting.
• Data Presentation & Decision Support:
  • Work with Finance, Operations, and other colleagues to understand information needs and translate business questions into clear reports and visualizations.
  • Provide ad hoc reporting and analysis to support day-to-day operational decisions.
  • Present findings clearly and concisely, using AI tools where appropriate to help summarize insights.
• Data Quality & Continuous Improvement:
  • Help ensure the accuracy, integrity, and consistency of data used in reports and analysis; investigate discrepancies and escalate as needed.
  • Follow data definitions, standards, and reporting methodologies, and help keep documentation current.
  • Maintain strict confidentiality of financial, operational, customer, and employee information, following data governance, security, and privacy practices, including the responsible use of approved AI tools.
  • Identify opportunities to improve reporting processes and tools.

Qualifications

• Post-secondary education (completed or in progress) in Data Analytics, Business, Finance, Computer Science, or a related field; or equivalent experience.
• Foundational experience with Power BI — through coursework, co-op, personal projects, or early work experience — with a strong interest in developing further.
• Exposure to, or a keen interest in learning, AI tools for data extraction, analysis, and presentation.
• Proficiency with Microsoft Excel; familiarity with Power Query, SQL, or other data tools is an asset.
• Familiarity with data from business systems (e.g., ERP, financial, or operational platforms) is an asset.
• An understanding of the agriculture industry — through education, background, or work experience — is a strong asset.

Benefits

• Competitive Salary, comprehensive benefits: including health, dental, vision.
• Registered Retirement Saving Plan contributions program.
• Ongoing professional development and training.
• A positive, team-oriented work environment with a focus on employee success.