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EPITEC

Financial Data Analyst

Montreal, QC, Canada

Pay Rate Range: $30-49 /hr · Contract

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Job details

Pay: Pay Rate Range: $30-49 /hr
Job type: Contract
Apply by: Nov 16, 2027
Experience: 4–6 Years Of Professional Experience In
Posting language: English
Posted: Nov 3, 2026

Original job description

Job Title :Financial Data Analyst

Location: Montreal Quebec

Duration: 12+ months to long term

T4 Only

Pay Rate Range: $30-49 /hr

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).

Technical Skills

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.

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.

Education

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

#INDPRO

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More about this job

Responsibilities

Develop, test, and deploy SQL-based data quality rules, translate business requirements into technical validation logic, and help resolve data discrepancies in financial and regulatory contexts. Support data quality dashboards, reporting, documentation, process improvements, and collaboration across IT, finance, business, and control teams.

Requirements

The role seeks 4–6 years of professional experience, including SQL development, data quality support, business analysis, and work in financial data environments. A bachelor’s degree in a related field is listed, along with strong SQL skills; familiarity with data quality tools, visualization platforms, project management tools, and Microsoft Office is also relevant.

Skills

SQL Development
Data Quality Rules
Data Validation
Business Analysis
Data Quality Monitoring
Power BI
Tableau
Collibra
Jira
Azure DevOps
Microsoft Excel
Technical Communication
Problem-Solving
Stakeholder Collaboration
Data Documentation
Financial Data Analysis

Visa sponsorship

Not detected in the job text

Keywords

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

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