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Business Process Analyst - Hybrid

Job in Montreal, Montréal, Province de Québec, G4F, Canada
Listing for: Randstad Canada
Full Time position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, IT Business Analyst
  • Business
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 70000 - 95000 CAD Yearly CAD 70000.00 95000.00 YEAR

Job Description & How to Apply Below

Location: Montreal

Job Title:

Business Analyst – Data Analytics & Business Intelligence

Location:

Edmonton, Alberta, Canada Contract Duration: 9 Months Work Arrangement:
Remote access supported, subject to project requirements Job Overview

We are seeking an experienced Business Analyst specializing in Data Analytics and Business Intelligence to support regulatory transformation initiatives, including the digitization and ongoing improvement of regulatory evaluation and reporting processes.

The successful candidate will work closely with business teams, senior stakeholders, and subject matter experts to translate business requirements into analytical solutions, develop performance monitoring products, and deliver actionable insights through dashboards, reports, and tracking tools.

This role requires strong analytical skills, expertise in Business Intelligence tools, and the ability to communicate complex findings to both technical and non-technical stakeholders. The ideal candidate will be experienced in data analysis, business requirements gathering, reporting, and cross-functional collaboration.

Key Responsibilities 1. Business Analysis and Requirements Gathering

Gather, analyze, and document business requirements for regulatory evaluation, reporting, and performance monitoring initiatives.

Translate business needs into analytical solutions and Business Intelligence deliverables.

Collaborate with cross-functional teams to understand detailed requirements and align solution designs with business objectives and user needs.

Facilitate discussions with stakeholders and subject matter experts to identify short-term priorities and long-term business needs.

Support the development of operational and policy recommendations based on analytical findings.

Key Responsibilities 2. Data Analytics and Business Intelligence

Analyze business data to identify trends, inconsistencies, patterns, and opportunities for improvement.

Develop and support dashboards, reports, trackers, and other regulatory performance monitoring products.

Use Business Intelligence tools and analytical methodologies to derive meaningful insights from data.

Translate analytical findings into clear, actionable recommendations for business users and leadership.

Support end-to-end BI solutions by connecting business requirements with data analysis, visualization, and reporting.

Help ensure reporting products provide accurate, relevant, and contextualized information for decision-making.

Key Responsibilities 3. Reporting and Documentation

Prepare strategic business documentation, technical documentation, and analytical reports.

Develop business requirements documents and supporting materials for analytics initiatives.

Present findings, recommendations, and project updates clearly to technical teams, business users, and senior management.

Maintain documentation that supports consistent reporting practices and ongoing improvements.

Key Responsibilities 4. Stakeholder Engagement and Collaboration

Build strong working relationships across business units and functional teams.

Facilitate meetings and requirements-gathering sessions with project stakeholders and senior management.

Work with technical teams to ensure analytical solutions meet business requirements.

Coordinate with subject matter experts to validate data, reporting outputs, and business interpretations.

Support alignment between business initiatives, performance monitoring needs, and organizational objectives.

Key Responsibilities 5. Cloud Data and Analytics Solutions

Support business requirements analysis, architecture, design, and delivery of cloud-based data and analytics solutions.

Collaborate on solutions involving platforms such as Microsoft Azure and Snowflake.

Contribute to initiatives involving data management,…

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