Sr. Business Data Analyst

Alquemy

Toronto, ON
2 days ago

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Skills

Analysis Skillsunmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Business Analysisunmatched
Business Processesunmatched
Business Skillsunmatched
Business Solutionsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Continuous Improvementunmatched
Contract Managementunmatched
Contract Reviewunmatched
Cross-Functionalunmatched
Customer Support/Serviceunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Enterprise Applicationsunmatched
Enterprise Data Integrationunmatched
Information Technology & Information Systemsunmatched
Master Data Management (MDM)unmatched
Mentoringunmatched
Microsoft Excelunmatched
Multitaskingunmatched
Operational Strategyunmatched
Operational Supportunmatched
Problem Solving Skillsunmatched
Process Flowunmatched
Process Improvementunmatched
Production Supportunmatched
Python Programming/Scripting Languageunmatched
Quality Managementunmatched
Quality Monitoringunmatched
Reconciliationunmatched
Relational Databases (RDBMS)unmatched
Requirements Managementunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Software Administrationunmatched
System Integration (SI)unmatched
Systems Administration/Managementunmatched
Team Playerunmatched
Testingunmatched
Time Managementunmatched
Vendor/Supplier Managementunmatched

Description

Senior Business Data Analyst

Position Summary

Reporting to the Director or Senior Manager, Data Governance, the Senior Business Data Analyst ensures business applications provide complete, accurate, and timely data to support operational and strategic decision-making. The role is responsible for maintaining data integrity, improving data quality, supporting data governance initiatives, and collaborating with business and technology teams to ensure reliable enterprise data.

The incumbent develops data quality controls, performs business and data analysis, supports enterprise systems and data processes, and partners with internal stakeholders and external vendors to deliver effective data solutions. Success in this role requires strong analytical skills, sound business judgment, effective communication, and the ability to manage multiple priorities in a fast-paced environment.

Duties and Responsibilities

Develop and maintain data governance standards, controls, and processes;recommend continuous improvements.
Monitor data quality, investigate issues, and implement controls to improve data integrity across enterprise systems.
Perform business and data analysis to identify root causes and coordinate issue resolution with stakeholders and vendors.
Support enterprise applications, including configuration, user support, troubleshooting, and system enhancements.
Participate in system implementations, upgrades, testing, and production support activities.
Document business requirements, processes, data flows, and functional specifications.
Manage master and reference data to ensure consistency across integrated systems.
Support vendor management activities, including service reviews, contract administration, and invoice reconciliation.
Coordinate cross-functional initiatives and contribute to enterprise data governance and process improvement efforts.
Mentor team members and serve as a subject matter expert for data governance and business analysis.
Provide operational support and backup for critical business processes as required.

Knowledge, Skills and Experience

7 years of experience in data management, business systems, data governance, business analysis, or related roles.
Post-secondary education in Business, Information Technology, Computer Science, or a related field, or equivalent experience.
Strong knowledge of data governance, data quality, and enterprise data management principles.
Excellent analytical, problem-solving, and communication skills with the ability to collaborate across technical and business teams.
Experience working with enterprise applications, relational databases, and integrated business systems.
Proficiency with SQL and advanced Microsoft Excel;experience with Python, ETL processes, reporting tools, or cloud platforms is an asset.
Experience with Master Data Management (MDM), data quality tools, and AI-enabled process automation is an asset.
Strong business analysis skills, including requirements gathering, process mapping, testing, and stakeholder management.
Ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.

Numbers & Facts

Location

Toronto, ON

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