Finance Business & Data Analyst

Aper u Du Poste L Analyste d affaires et de donn es Finance sera un membre cl de l quipe FDO Montr al. Il se concentrera principalement sur le d veloppement pratique de scripts SQL et la mise en uvre de r gles de qualit des donn es (DQR) pour les syst mes utilis s par les d partements Finance et Fiscalit . Ce poste contribue assurer la continuit des services en participant au d ploiement des r gles, la mise jour de la documentation et la traduction des exigences m tier en logique technique. Le candidat travaillera en troite collaboration avec les quipes Finance, les TI et les fonctions de contr le afin de r soudre les probl mes de qualit des donn es, de contribuer l analyse des causes profondes et de mettre en uvre les solutions d finies.

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. The candidate 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 candidate will report to the Head of Data Integrity and Control and will work within a global team environment.

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

- 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.
- 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.
- 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.
- 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.

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).

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).
- 4 6 years of professional experience in data quality support (assisting in DQR creation and validation).
- 4 6 years of qualified experience in business analysis (translating requirements into technical logic).
- 4 6 years of professional experience working within financial data environments.

Soft Skills

- Technical Communication: Strong verbal and written communication skills to translate business needs into technical steps and communicate effectively with both technical and non‑technical stakeholders.
- Problem‑Solving: Analytical mindset to troubleshoot data discrepancies and identify causes.
- Collaboration: Ability to work effectively within a global, multi‑functional team.

📌 Business Data Analyst (Montreal)
🏢 Cynet Systems
📍 Montreal