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Added 11 mins ago
EP
Payroll & Benefits Administrator
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- Full-time
…high-caliber professional to administer payroll and benefits, provide reporting, and deliver an excellent employee experience to our…
Added 11 mins ago
VP
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- $90,000 to $110,000 CAD / year
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Added 2 hours ago
IW
Advisor, IG Wealth Management, Corporate Channel - Quebec City
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eTeam

Finance Business & Data Analyst

Montreal, QC, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Dec 3, 2026
Experience: 4-6 years of professional experience in:
Posting language: English
Posted: Nov 3, 2026

Original job description

Job title:- Finance Business & Data Analyst
Location:- Montreal
Duration:- 12 Months

In detail

Role Overview

The Finance Business & Data Analyst will be a key contributor to the FDO team in Montreal, focusing on the hands-on development of SQL scripts and the implementation of Data Quality Rules (DQRs) for the systems used by the Finance and Tax departments. This role ensures service continuity by assisting in the deployment of rules, maintaining documentation, and translating business requirements into technical logic.
analyst will work closely with finance teams, IT, and control functions to troubleshoot data quality issues, assist in root cause analysis, and implement defined solutions.

Staff supervision/ Organizational Structure:
The Analyst will report to the Head of Data Integrity and Control and willworkwithin a global teamenvironment.

Work conditions: This position provides for standard working conditions in an office and a normal work schedule from Monday to Friday. This position requires little travel.

Key Responsibilities

Data Quality Rule Implementation (DQR)

Develop, test, and deploy Data Quality Rules (DQRs) using SQL to ensure data accuracy, completeness, and consistency.
Translate business requirements into technical SQL logic for validation and implementation.
Collaborate with finance teams to identify and address data quality issues raised in operational or regulatory contexts.
Assist in troubleshooting data quality gaps and supporting the implementation of sustainable solutions.

Data Quality Monitoring &Reporting

Support the maintenance of data quality dashboards (e.g., Power BI, Tableau) to track KPIs (e.g., accuracy, completeness, timeliness).
Generate regular status reports highlighting data inconsistencies and anomalies for stakeholders.
Assist in monitoring alerts for SLA breaches and producing performance reports for management.

Process Support & Documentation

Assist in identifying opportunities to automate workflows and enhance data quality processes.
Maintain clear and up-to-date documentation for DQRs, SQL scripts, and business requirement translations.
Contribute to knowledge sharing to ensure team alignment on data quality standards.

Collaboration & Stakeholder Engagement

Work alongside IT, business lines, and control functions to support the integration of DQRs across platforms.
Support data integration projects by validating data fitness for reporting.
Assist in implementing mitigation plans for identified data-related risks.

The strengths and skills that will help you succeed

Education

Bachelor’s degree in computer science, Information Management, Data Science, Business Administration, Finance, or a related field.

Years of Experience

4-6 years of professional experience in:
- SQL development (writing queries, testing, and rule implementation).
- Data quality support (assisting in DQR creation and validation).
- Business analysis (translating requirements into technical logic).
- Working within financial data environments.

Languages

English (mandatory).
French (a plus).

TechnicalSkills

SQL: Strong proficiency in query development and data manipulation.
Data Quality Tools: Experience with data validation frameworks or metadata management tools (e.g., Collibra) is an asset.
Visualization Tools: Familiarity with Power BI or Tableau for dashboarding.
Project Management Tools: Experience with Jira or Azure DevOps.
Microsoft Office Suite: Proficiency in Excel (for analysis) and Word/PowerPoint (for documentation).

Soft Skills

Technical Communication: Ability to translate business needs into technical steps and communicate with both technical and non-technical colleagues.
Problem-Solving: Analytical mindset to troubleshoot data discrepancies and identify causes.
Collaboration: Ability to work effectively within a global, multi-functional team.
Rigour: High attention to detail and a commitment to data accuracy.
Adaptability: Ability to manage tasks in a fast-paced, regulatory-driven environment.

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More about this job

Responsibilities

Develop, test, and deploy SQL-based data quality rules, translate business requirements into technical logic, and help troubleshoot data issues and implement sustainable solutions. Maintain data quality dashboards, reports, and documentation while collaborating with finance, IT, and control teams on data integration and risk mitigation.

Requirements

A bachelor's degree in computer science, information management, data science, business administration, finance, or a related field is specified, along with 4–6 years of relevant experience. Candidates should have strong SQL skills and experience with data quality support, business analysis, and financial data environments; familiarity with data quality tools, Power BI or Tableau, Jira or Azure DevOps, and Microsoft Office is also relevant.

Skills

SQL Development
Data Quality Rules
Data Validation
Business Analysis
Requirements Translation
Data Quality Monitoring
Power BI
Tableau
Root Cause Analysis
Data Integration
Dashboarding
Collaboration
Technical Communication
Problem-Solving
Documentation
Excel

Visa sponsorship

Not detected in the job text

Keywords

SQL
Data Quality Rules
Data Quality
Data Validation
Data Accuracy
Data Completeness
Data Consistency
Business Analysis
Financial Data
Finance
Tax
Power BI
Tableau
Collibra
Jira
Azure DevOps
Microsoft Excel
Microsoft Word
Microsoft PowerPoint
Data Quality Dashboards
KPI Monitoring
SLA Monitoring
Data Integration
Root Cause Analysis
Metadata Management
Regulatory Reporting
Workflow Automation
Risk Mitigation

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