Full-Time

Business Intelligence Manager

Deadline 8/23/26
Ontario Northland

Ontario Northland

Compensation Overview

CA$112.8k - CA$132.7k/yr

+ Defined benefit pension plan

North Bay, ON, Canada

In Person

Bachelor's

Category
Data & Analytics (2)
,
Required Skills
LLM
Power BI
Data Visualization
Data Science
Machine Learning
Tableau
Data Governance
Data Analysis
Requirements
  • A university degree in Data Science, Computer Science, Business Administration, Commerce, Project Management, Analytics, Information Systems, or a related field is required.
  • Three to five years of experience supporting business intelligence initiatives is required, including KPI development and organizational performance reporting, developing performance metrics and understanding their relationship to organizational strategy, coordinating and implementing organizational planning processes, applying quantitative, critical-thinking, and analytical skills to support business decisions, coordinating and facilitating cross-functional teams, and leading or mentoring staff by assigning work, reviewing outputs, and providing direction and developmental feedback.
  • Experience developing performance metrics and KPI designs for business intelligence tools such as Power BI and Tableau is required.
  • Experience working with large structured and non-structured data, including validation and quality management, is required.
  • Experience in performance management, quality improvement, program evaluation, and project management is required.
  • Highly developed interpersonal, written, and oral communication skills are required.
  • Strong negotiation and relationship-management skills are required.
  • The ability to communicate effectively across all organizational levels is required.
Responsibilities
  • Lead the development, implementation, maintenance, and continuous improvement of organizational performance metrics, measures, KPIs, and reporting frameworks supporting strategic objectives, business planning, annual reporting, compliance requirements, and return on investment.
  • Establish and maintain a formal data-governance framework covering data definitions, ownership, quality standards, validation processes, and reporting schedules.
  • Prepare, analyze, and communicate routine and ad hoc performance, compliance, and executive reporting.
  • Assess organizational intelligence needs and monitor industry trends, benchmarks, emerging practices, and reporting standards.
  • Advise senior leadership on performance outcomes, emerging risks, opportunities, and strategic priorities by translating data and analysis into actionable insights and recommendations.
  • Evaluate and support the selection, implementation, and ongoing enhancement of business intelligence platforms, dashboards, and data-visualization tools.
  • Collaborate with senior leaders, managers, and cross-functional partners to identify performance indicators, targets, reporting requirements, and performance-management practices across business units.
  • Partner with Finance, Information Technology Services, Operations, and other stakeholders to ensure data infrastructure, systems, and processes support business intelligence, analytics, and performance-reporting requirements.
  • Provide analytical leadership and decision support through data analysis, risk and opportunity identification, business-case evaluation, benchmarking, and recommendations related to organizational performance and strategic initiatives.
  • Directly manage Business Intelligence staff, including workload planning, performance management, employee development, coaching, discipline matters, succession planning, and hiring recommendations.
  • Design and deliver training, coaching, and business-intelligence literacy programs.
  • Lead development of the organization's performance-management and business-intelligence capabilities, including a Performance Management Centre of Excellence, BI standards, tools, templates, playbooks, and self-service resources.
  • Foster a culture of accountability, continuous improvement, and data-informed decision-making across the organization.
Desired Qualifications
  • Central Business Intelligence Professional certification is preferred.
  • Familiarity with public-sector planning, compliance, and reporting environments is an asset.
  • Experience using artificial intelligence, machine learning, and large language model enablers is an asset.

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