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Cynet Systems

Business Data Analyst - Analyste de données d’affaires

Montreal, QC, Canada

$43.42 to $48.42 CAD / hour · Contract

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Job details

Pay: $43.42 to $48.42 CAD / hour
Job type: Contract
Apply by: Dec 3, 2026
Posting language: English · French
Posted: Nov 3, 2026

Original job description

English section of this bilingual listing.

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 professional 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.
Rigour: High attention to detail and a commitment to data accuracy.
Adaptability: Ability to manage tasks in a fast-paced, regulatory-driven environment.

=======================================================================================

Benefits

Our Benefits Include:

Paid Sick Leave (where required by applicable state or local law)
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program (EAP)
Career Growth and Professional Development Opportunities

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Read the full bilingual original

Pay Range: $43.42hr - $48.42hr

Job 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. 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 professional 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.
Rigour: High attention to detail and a commitment to data accuracy.
Adaptability: Ability to manage tasks in a fast-paced, regulatory-driven environment.

=======================================================================================

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.

Supervision Du Personnel / Structure Organisationnelle

Le candidat rel vera du responsable de l int grit et du contr le des donn es et travaillera au sein d une quipe internationale.

Conditions De Travail

Ce poste pr voit des conditions de travail standard dans un bureau et un horaire normal du lundi au vendredi. Ce poste n cessite peu de d placements.

Responsabilit s Cl s

D velopper, tester et d ployer des r gles de qualit des donn es (DQR) l aide de SQL afin de garantir l exactitude, l exhaustivit et la coh rence des donn es.
Traduire les exigences m tier en logique SQL technique aux fins de validation et de mise en uvre.
Collaborer avec les quipes Finance afin d identifier et de r soudre les probl mes de qualit des donn es soulev s dans des contextes op rationnels ou r glementaires.
Participer au d pannage des lacunes en mati re de qualit des donn es et soutenir la mise en uvre de solutions durables.
Contribuer la maintenance des tableaux de bord de qualit des donn es (p. ex. Power BI, Tableau) afin de suivre les indicateurs cl s de performance (KPI), notamment l exactitude, l exhaustivit et la ponctualit .
Produire des rapports d avancement r guliers mettant en vidence les incoh rences et les anomalies des donn es l intention des parties prenantes.
Participer au suivi des alertes en cas de non-respect des accords de niveau de service (SLA) et la production de rapports de performance destin s la direction.
Contribuer identifier les possibilit s d automatisation des flux de travail et d am lioration des processus de qualit des donn es.
Tenir jour une documentation claire et actualis e concernant les DQR, les scripts SQL et la traduction des exigences m tier.
Contribuer au partage des connaissances afin de garantir l alignement de l quipe sur les normes de qualit des donn es.
Travailler en collaboration avec les TI, les secteurs d activit et les fonctions de contr le afin de soutenir l int gration des DQR sur diff rentes plateformes.
Soutenir les projets d int gration des donn es en validant leur ad quation aux besoins de production de rapports.
Participer la mise en uvre de plans d att nuation des risques li s aux donn es identifi s.

Comp Tences Techniques

SQL : Excellente ma trise du d veloppement de requ tes et de la manipulation des donn es.
Outils de qualit des donn es : Une exp rience avec les cadres de validation des donn es ou les outils de gestion des m tadonn es (p. ex. Collibra) constitue un atout.
Outils de visualisation : Familiarit avec Power BI ou Tableau pour la cr ation de tableaux de bord.
Outils de gestion de projets : Exp rience avec Jira ou Azure DevOps.
Suite Microsoft Office : Ma trise d Excel pour l analyse ainsi que de Word et PowerPoint pour la documentation.

Formation

Dipl me de licence en informatique, en gestion de l information, en science des donn es, en administration des affaires, en finance ou dans un domaine connexe.

Ann Es d Exp Rience

4 6 ans d exp rience professionnelle en d veloppement SQL (r daction de requ tes, tests et mise en uvre de r gles).
4 6 ans d exp rience professionnelle en support de la qualit des donn es (participation la cr ation et la validation des DQR).
4 6 ans d exp rience professionnelle en analyse d affaires (traduction des exigences en logique technique).
4 6 ans d exp rience professionnelle dans des environnements de donn es financi res.

Comp Tences Interpersonnelles

Communication technique : Excellentes comp tences en communication orale et crite pour traduire les besoins m tier en tapes techniques et communiquer efficacement avec les parties prenantes techniques et non techniques.
R solution de probl mes : Esprit analytique permettant de diagnostiquer les carts de donn es et d en identifier les causes.
Collaboration : Capacit travailler efficacement au sein d une quipe internationale et multifonctionnelle.
Rigueur : Grand souci du d tail et engagement envers l exactitude des donn es.
Adaptabilit : Capacit g rer plusieurs t ches dans un environnement dynamique soumis des exigences r glementaires.

Benefits

Our Benefits Include:

Medical, Dental, and Vision Insurance
401(k) Retirement Plan
Health Savings Account (HSA)
Disability Insurance (Short-Term and Long-Term)
Life and AD&D Insurance
Paid Sick Leave (where required by applicable state or local law)
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program (EAP)
Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Apply About employer

More about this job

Responsibilities

Develop, test, and deploy SQL-based data quality rules, translate business requirements into technical logic, and help resolve data quality issues in finance and tax systems. Maintain dashboards, reports, documentation, and alerts 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. The role calls for 4–6 years of experience in SQL development, data quality support, business analysis, and financial data environments, along with strong communication, analytical, collaboration, and attention-to-detail skills.

Skills

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

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Health Savings Account (HSA)
Short-Term Disability Insurance
Long-Term Disability Insurance
Life Insurance
Accidental Death and Dismemberment Insurance
Paid Sick Leave
Supplemental Insurance Plans
Identity Theft Protection
Pet Insurance
Employee Wellness Programs
Employee Assistance Program (EAP)
Career Growth and Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

SQL
Data Quality Rules
Data Quality
Data Validation
Data Manipulation
Business Analysis
Financial Data
Finance
Tax
Power BI
Tableau
Collibra
Metadata Management
Jira
Azure DevOps
Microsoft Excel
Microsoft Word
Microsoft PowerPoint
Key Performance Indicators
Service-Level Agreements
Data Integration
Root Cause Analysis
Workflow Automation
Data Governance
Regulatory Reporting
Risk Mitigation
Data Dashboards
Data Anomalies
Data Accuracy
Data Completeness

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