Data Analytics Functional Tester (3-5 years) to validate financial systems, reporting processes, and data transformations using Manual QA testing, SQL, and Excel 107324-1

S I Systems

Toronto

Hybrid

CAD 60,000 - 80,000

Part time

3 days ago
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Job summary

S I Systems is seeking a Data Analytics Functional Tester for a 5-month contract in Toronto. The role focuses on manual QA testing, data validation, and validating data transformations within financial reporting environments.

You will work with Finance Operations, Data Analytics, and Development teams in a hybrid in-office setting (Wed/Thu). Candidates should have 3-5 years of experience in data-centric QA, strong Excel and SQL skills, and knowledge of data reconciliation processes.

Qualifications

  • 3-5 years of Manual QA testing within data-centric applications, financial reporting systems, ETL processes, or data transformation workflows
  • Advanced Microsoft Excel including Pivot Tables, VLOOKUP/XLOOKUP, data validation, and complex formulas
  • Intermediate to advanced SQL including SELECT, JOIN, GROUP BY, aggregations, and subqueries
  • Data validation, reconciliation, and defect management across finance-related systems and reports

Responsibilities

  • Execute manual test cases and validate data integrity across financial systems and reporting platforms
  • Develop and maintain test plans, test cases, test scripts, and related documentation
  • Analyze large datasets using Excel to identify anomalies, inconsistencies, and data quality issues
  • Write SQL queries to validate data transformations and perform reconciliations
  • Document, track, and communicate defects through resolution
  • Collaborate with business and technical stakeholders to maintain quality standards and support project delivery

Skills

Manual QA testing
Microsoft Excel
SQL
Data validation

Job description

Data Analytics Functional Tester (3-5 years) to validate financial systems, reporting processes, and data transformations using Manual QA testing, SQL, and Excel 107324-1

Our financial services client is seeking a Data Analytics Functional Tester (3-5 years) to validate financial systems, reporting processes, and data transformations using Manual QA testing, SQL, and Excel

Join a Finance Operations team supporting large-scale financial reporting, performance management, and data analytics initiatives. This role focuses on manual QA testing, data validation, reconciliation, and defect identification across finance-related systems and reporting processes. The position offers exposure to enterprise financial data environments while partnering closely with Finance, Data Analytics, and Development teams. Extension and potential long-term opportunities are possible.

Contract, Toronto, Hybrid, In-Office Wed/Thurs)

5 months

81 Bay Street

Must Haves
  • 3-5 years of Manual QA testing within data-centric applications, financial reporting systems, ETL processes, or data transformation workflows
  • Advanced Microsoft Excel including Pivot Tables, VLOOKUP/XLOOKUP, data validation, and complex formulas
  • Intermediate to advanced SQL including SELECT, JOIN, GROUP BY, aggregations, and subqueries
  • Data validation, reconciliation, and defect management across finance-related systems and reports
Nice to Have
  • Banking or financial services industry experience
  • Experience supporting Finance Operations or financial reporting teams
  • Knowledge of general ledger, financial accounting, or reconciliation processes
  • Experience with capital markets or finance platforms
  • Familiarity with test management and defect tracking tools
Responsibilities
  • Execute manual test cases and validate data integrity across financial systems and reporting platforms
  • Develop and maintain test plans, test cases, test scripts, and related documentation
  • Analyze large datasets using Excel to identify anomalies, inconsistencies, and data quality issues
  • Write SQL queries to validate data transformations and perform reconciliations
  • Document, track, and communicate defects through resolution
  • Collaborate with business and technical stakeholders to maintain quality standards and support project delivery
Data Analytics Functional Tester (3-5 years) to validate financial systems, reporting processes, and data transformations using Manual QA testing, SQL, and Excel 107324-1

Our financial services client is seeking a Data Analytics Functional Tester (3-5 years) to validate financial systems, reporting processes, and data transformations using Manual QA testing, SQL, and Excel

Join a Finance Operations team supporting large-scale financial reporting, performance management, and data analytics initiatives. This role focuses on manual QA testing, data validation, reconciliation, and defect identification across finance-related systems and reporting processes. The position offers exposure to enterprise financial data environments while partnering closely with Finance, Data Analytics, and Development teams. Extension and potential long-term opportunities are possible.

Contract, Toronto, Hybrid, In-Office Wed/Thurs)

5 months

81 Bay Street

Must Haves
  • 3-5 years of Manual QA testing within data-centric applications, financial reporting systems, ETL processes, or data transformation workflows
  • Advanced Microsoft Excel including Pivot Tables, VLOOKUP/XLOOKUP, data validation, and complex formulas
  • Intermediate to advanced SQL including SELECT, JOIN, GROUP BY, aggregations, and subqueries
  • Data validation, reconciliation, and defect management across finance-related systems and reports
Nice to Have
  • Banking or financial services industry experience
  • Experience supporting Finance Operations or financial reporting teams
  • Knowledge of general ledger, financial accounting, or reconciliation processes
  • Experience with capital markets or finance platforms
  • Familiarity with test management and defect tracking tools
Responsibilities
  • Execute manual test cases and validate data integrity across financial systems and reporting platforms
  • Develop and maintain test plans, test cases, test scripts, and related documentation
  • Analyze large datasets using Excel to identify anomalies, inconsistencies, and data quality issues
  • Write SQL queries to validate data transformations and perform reconciliations
  • Document, track, and communicate defects through resolution
  • Collaborate with business and technical stakeholders to maintain quality standards and support project delivery
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