Senior Data Solutions & Reporting Analyst

Co-operators • Montreal, QC

8d • CA$72,847 - CA$121,411 • Hybrid

About The Position

As a Sr. Data and Reporting Solutions Analyst, you independently support Audit & Certification Services initiatives through scalable analytics and reporting solutions. You leverage deep knowledge of enterprise data sources and platforms to integrate, transform, and operationalize data across the organization. The role focuses on building automated, reliable data pipelines, improving data quality, and reducing manual effort. Using strong business and risk acumen, you translate technical requirements into actionable insights that support audit execution, risk monitoring, and informed decision making.

Requirements

• Advanced knowledge of SQL, Python, R, SAS, VBA, Azure Data Factory, Databricks, and enterprise data integration tools.
• Strong experience building and maintaining automated data pipelines, workflows, APIs, and data transformation processes.
• Proven ability to extract, reconcile, integrate, and validate data from multiple enterprise systems.
• Expertise designing and developing dashboards, reports, and self-service analytics solutions using Power BI, Azure Synapse, MicroStrategy, Excel, and related platforms.
• Strong understanding of enterprise data architecture, operational systems, and business integration points.
• Demonstrated business and risk acumen with knowledge of internal audit practices, continuous monitoring, and the three lines of defense framework.
• Ability to translate business and audit requirements into actionable reporting, analytics, and automation solutions.
• Excellent communication, stakeholder management, and coaching skills.
• Proficiency in English.
• Bachelor’s degree in Data Science, Computer Science, Actuarial Science, Mathematics, Statistics, or a related quantitative discipline.
• 6 to 9 years of experience in data analysis, reporting, analytics, automation, or data solution development within a complex enterprise environment.
• Strong knowledge of data analysis, programming languages and tools, process automation techniques, modelling methodologies, data warehousing, data management, and research practices.
• Hands on experience with SQL, Python, R, Azure, reporting platforms, and enterprise data integration technologies.

Nice To Haves

• French language is an asset.
• Professional certifications or designations related to data modelling, cloud technologies, coding, analytics, or reporting development are considered an asset.
• Strong business and functional knowledge with the ability to apply best practices, collaborate across teams, and understand how data solutions support operational objectives, risk mitigation, and business strategy.

Responsibilities

• Develop scalable data and analytics solutions using advanced knowledge of SQL, Python, R, SAS, VBA, Azure Data Factory, Databricks, and enterprise data integration tools.
• Build and maintain automated data pipelines, workflows, APIs, and data transformation processes to support reporting, auditing, and analytics.
• Extract, reconcile, integrate, and validate data from multiple enterprise systems, ensuring data quality, accuracy, and traceability.
• Design and develop dashboards, reports, and self-service analytics solutions using Power BI, Azure Synapse, MicroStrategy, Excel, and related platforms.
• Leverage understanding of enterprise data architecture, operational systems, and business integration points to deliver governed and reusable data solutions.
• Apply business and risk acumen, including knowledge of internal audit practices, continuous monitoring, and the three lines of defense framework.
• Translate business and audit requirements into actionable reporting, analytics, and automation solutions that improve efficiency and decision making.
• Communicate technical concepts to non-technical audiences and collaborate across teams.
• Support Audit & Certification Services initiatives through scalable analytics and reporting solutions.
• Integrate, transform, and operationalize data across the organization.
• Improve data quality and reduce manual effort.
• Provide insights that support audit execution, risk monitoring, and informed decision making.

Benefits

• Training and development opportunities
• Flexible work options
• Paid time off
• Physical and mental health programs
• Supportive workplace culture
• Paid volunteer days
• Competitive salary
• Incentive programs
• Comprehensive total rewards package
• Group retirement savings plans
• Pension and benefits (e.g., health and wellness, dental, disability and life coverage)
• Mental health support
• Employee assistance program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior