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Data Operations Analyst
Canaccord Genuity Wealth Management (UK, Channel Islands and Isle of Man). Monitor scheduled data loads, ETL processes, and reporting activities .
Posted 10/16/2026full-timeVancouver • CanadaMid-LevelSenior💰 CA$100,000 - CA$110,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL development, data integration, and reporting using tools like Power BI and Snowflake. Strong analytical and problem-solving abilities are essential for monitoring data quality and supporting business users effectively.
Highest-signal resume keywords
SQL DevelopmentData IntegrationPower BI ReportingETL ProcessesData Quality Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ValidationData ReconciliationDatabase TroubleshootingData ModelingData MigrationReporting StandardsAutomation ToolsPowerShellPython
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsOrganizational SkillsAbility to Learn Quickly
Tools & Technologies
Power BISQL ServerSnowflakeSSRSMicrosoft FabricAzure Data Factory
Industry Keywords
Information TechnologyData AnalyticsBusiness IntelligenceFinancial ServicesData Governance
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Monitor scheduled data loads, ETL processes, and reporting activities
- Investigate and resolve data, reporting, and application support issues
- Perform data validation and reconciliation activities
- Assist with incident response and problem resolution
- Escalate issues appropriately and document resolutions
- Maintain support and operational procedures
- Monitor overnight production ETL processes on weeknights by responding to database-related alerts and escalations
- Provide database-related support on weekends as required
- Develop and maintain SQL queries, views, stored procedures, and scripts
- Support data integration and transformation processes
- Assist with database troubleshooting and performance analysis
- Participate in testing and validation activities for data initiatives
- Help automate recurring operational and reporting tasks
- Develop and maintain reports and dashboards using Power BI and other reporting platforms
- Support business users with reporting requests and data inquiries
- Monitor data quality and report accuracy
- Assist in documenting business definitions and reporting standards
- Identify opportunities for reporting and process improvements
- Assist with implementation of enterprise data solutions
- Support Snowflake and Microsoft-based data platforms
- Contribute to data modeling, integration, and migration initiatives
- Participate in data governance and quality activities
- Work closely with senior Data Engineers and Data Architects on project delivery
Requirements
What you’ll need- Bachelor's degree, diploma, or equivalent experience in Information Technology, Computer Science, Data Analytics, or a related field
- 3 to 5 years experience working with data, reporting, SQL, business intelligence, or application support
- Working knowledge of SQL and relational databases
- Interest in data engineering, analytics, or enterprise data platforms
- Strong analytical and problem-solving skills
- Ability to learn new technologies and processes quickly
- Strong communication and organizational skills
- Candidates selected for interviews must show proof of citizenship, permanent residence, or eligibility to work in Canada with no restrictions
- Preferred: Experience with SQL Server or Snowflake
- Preferred: Experience with Power BI, SSRS, or similar reporting tools
- Preferred: Familiarity with ETL or data integration concepts
- Preferred: Exposure to Microsoft Fabric, Azure Data Factory, or cloud technologies
- Preferred: Experience supporting business applications or production environments
- Preferred: Knowledge of financial services
- Preferred: Experience with PowerShell, Python, or automation tools