Overview
Analytics Analyst Jobs in Toronto, Ontario, Canada at BITS Recruiting
Title: Analytics Analyst
Company: BITS Recruiting
Location: Toronto, Ontario, Canada
Predictive Analytics Analyst – Senior
Start Date: June 22, 2026
End Date: March 31, 2027
Location: Jarvis Street, Toronto, ON, Onsite – 5 days/week
Security Clearance: CRJMC
Incorp Rate: $79.04/hr
Overview
The ministry is seeking a Senior Predictive Analytics Analyst to support advanced analytics, predictive modeling, reporting, and enterprise data initiatives. The successful candidate will leverage statistical and analytical techniques to generate actionable insights, support data-driven decision-making, and enhance business intelligence capabilities across large-scale government environments.
This role requires strong hands-on technical expertise with modern analytics tools, data visualization platforms, enterprise data environments, and cloud-based technologies.
Must-Have Qualifications
- Hands-on experience with analytics and data tools such as Python, SQL, Databricks, and related technologies
- Strong experience with Power BI and SQL-based reporting solutions
- Experience working with enterprise data environments and data pipelines
- Familiarity with Azure or comparable cloud platforms
- Experience implementing and managing Google Analytics tracking codes and Google Tag Manager
- Strong analytical, problem-solving, and communication skills
Responsibilities
- Develop and support predictive and advanced analytics solutions using statistical and machine learning techniques
- Perform data analysis using methods such as forecasting, regression analysis, segmentation, classification, and trend analysis
- Build dashboards, reports, and visualizations to communicate analytical findings and business insights
- Work with large, complex datasets across enterprise environments to support operational and strategic initiatives
- Design, maintain, and optimize data pipelines and analytical workflows
- Collaborate with technical and business stakeholders to define KPIs, reporting requirements, and measurement frameworks
- Translate complex analytical findings into actionable recommendations for technical and non-technical audiences
- Support implementation and management of Google Analytics tracking and tag management solutions
- Ensure data quality, integrity, governance, and compliance with enterprise standards
- Participate in agile delivery teams and contribute to project timelines and deliverables
- Provide guidance and mentorship to junior analysts where required
Required Skills & Experience
1. Predictive Analytics & Modeling – 25%
- Strong experience with predictive analytics and statistical modeling techniques
- Experience with forecasting, segmentation, classification, regression, and trend analysis
- Hands-on expertise using Python, SQL, Databricks, or similar analytics tools
- Ability to apply analytical methodologies to solve real-world business problems
2. Data Management & Technical Proficiency – 20%
- Experience working with large-scale enterprise datasets
- Knowledge of data pipelines, ETL processes, and enterprise data environments
- Familiarity with Azure cloud services or similar cloud platforms
- Strong understanding of data integration, cleansing, and quality assurance practices
3. Insight Generation & Business Impact – 20%
- Ability to translate analytical findings into meaningful business insights
- Experience supporting business decisions through data-driven recommendations
- Experience defining KPIs, performance metrics, and measurement frameworks
- Strong analytical storytelling and reporting capabilities
4. Visualization & Communication – 15%
- Experience building dashboards and reporting solutions using Power BI or equivalent tools
- Strong verbal and written communication skills
- Ability to present complex concepts clearly to both technical and non-technical stakeholders
- Experience tailoring reporting and insights to diverse audiences
5. Collaboration & Delivery – 10%
- Experience working within cross-functional and agile delivery teams
- Strong stakeholder engagement and collaboration skills
- Ability to manage priorities and work effectively in fast-paced environments
- Proven ability to meet project timelines and deliverables
6. Leadership & Mentorship – 10%
- Experience mentoring junior analysts or providing technical guidance
- Ability to promote analytics best practices and standards
- Experience contributing to team capability development and knowledge sharing
Preferred Qualifications
- Experience with statistical software such as R, SAS, SPSS, Stata, or similar platforms
- Knowledge of machine learning concepts and model deployment practices
- Experience in public sector or enterprise-scale environments
- Familiarity with Hadoop, MongoDB, or big data ecosystems
- Experience with advanced analytics techniques including conjoint analysis, factor analysis, time-series analysis, and survival analysis
AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
