Financial Data Analyst

Job summary

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.

Job details

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

What you’ll do

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.

Listed skills

• Data Validation · Preferred
• Business analysis · Preferred
• Power BI · Preferred
• Tableau · Preferred
• Jira · Preferred
• Microsoft Excel · Preferred
• Problem solving · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• 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

Job areas

• Data & Analytics
• Finance & Accounting
• Technology

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