The Risk Data & Modelling Analyst supports the processing and analysis of tax data by Collecting and Preparing datasets Executing basic analytical tasks and Documenting outputs for review by the Risk Data & Modelling Expert. The role contributes to dashboards and reports Maintains data and metadata records and Supports development and testing of analytical tools that enable risk assessment and decision-making across GTA.
Key Responsibilities
Data Collection & Preparation
Collect and Prepare tax data from internal and external systems for use in analytical and modelling activities.
Perform basic data validation cleaning and formatting to Support data quality and consistency.
Basic Analytics & Modelling Support
Execute simple exploratory analyses (such as summaries trend views and comparisons) to Support identification of patterns relevant to compliance risk and performance.
Prepare input tables and intermediate datasets that Contribute to predictive or analytical models developed by senior staff.
Dashboards Reports & Documentation
Prepare draft charts tables and data extracts for dashboards and analytical reports used by management and operational units.
Document analytical steps data sources and assumptions in working files to Support review and replication of analyses.
Stakeholder & Requirements Support
Support meetings with departments by Preparing data packs and basic summaries of requested indicators.
Record and Document data requirements and identified data gaps for follow-up by the Risk Data & Modelling Expert and IT.
Tools Systems & Testing
Support analytical tool development by Preparing test datasets Running simple test cases and Documenting issues or user feedback.
Maintain shared templates and reference files used for recurring analyses and reporting.
Records Management & Confidentiality
Maintain organized and confidential records of datasets analytical outputs and shared reports in line with data governance standards.
Ensure careful handling of sensitive tax data in all day-to-day activities.
Preferred Qualifications & Experience
Preferred qualifications
Bachelor’s degree in Data Science Statistics Economics Computer Science Information Systems or a related field.
Master’s degree in a related field is preferred.
Relevant professional certifications are an advantage.
Preferred experience
3 years of relevant experience in data analysis reporting or a related analytical role in government tax finance or compliance is preferred; internships and academic projects can be considered.
Basic familiarity with data analysis tools databases or BI/reporting solutions is an advantage.
Technical & Other Skills
Ability to work with data using spreadsheets and basic analytical or BI tools.
Attention to detail in data preparation checking and documentation.
Basic analytical and problem-solving skills.
Ability to work collaboratively and follow guidance from more senior data and risk specialists.
Job SummaryThe Risk Data & Modelling Analyst supports the processing and analysis of tax data by Collecting and Preparing datasets Executing basic analytical tasks and Documenting outputs for review by the Risk Data & Modelling Expert. The role contributes to dashboards and reports Maintains data an...
Job Summary
The Risk Data & Modelling Analyst supports the processing and analysis of tax data by Collecting and Preparing datasets Executing basic analytical tasks and Documenting outputs for review by the Risk Data & Modelling Expert. The role contributes to dashboards and reports Maintains data and metadata records and Supports development and testing of analytical tools that enable risk assessment and decision-making across GTA.
Key Responsibilities
Data Collection & Preparation
Collect and Prepare tax data from internal and external systems for use in analytical and modelling activities.
Perform basic data validation cleaning and formatting to Support data quality and consistency.
Basic Analytics & Modelling Support
Execute simple exploratory analyses (such as summaries trend views and comparisons) to Support identification of patterns relevant to compliance risk and performance.
Prepare input tables and intermediate datasets that Contribute to predictive or analytical models developed by senior staff.
Dashboards Reports & Documentation
Prepare draft charts tables and data extracts for dashboards and analytical reports used by management and operational units.
Document analytical steps data sources and assumptions in working files to Support review and replication of analyses.
Stakeholder & Requirements Support
Support meetings with departments by Preparing data packs and basic summaries of requested indicators.
Record and Document data requirements and identified data gaps for follow-up by the Risk Data & Modelling Expert and IT.
Tools Systems & Testing
Support analytical tool development by Preparing test datasets Running simple test cases and Documenting issues or user feedback.
Maintain shared templates and reference files used for recurring analyses and reporting.
Records Management & Confidentiality
Maintain organized and confidential records of datasets analytical outputs and shared reports in line with data governance standards.
Ensure careful handling of sensitive tax data in all day-to-day activities.
Preferred Qualifications & Experience
Preferred qualifications
Bachelor’s degree in Data Science Statistics Economics Computer Science Information Systems or a related field.
Master’s degree in a related field is preferred.
Relevant professional certifications are an advantage.
Preferred experience
3 years of relevant experience in data analysis reporting or a related analytical role in government tax finance or compliance is preferred; internships and academic projects can be considered.
Basic familiarity with data analysis tools databases or BI/reporting solutions is an advantage.
Technical & Other Skills
Ability to work with data using spreadsheets and basic analytical or BI tools.
Attention to detail in data preparation checking and documentation.
Basic analytical and problem-solving skills.
Ability to work collaboratively and follow guidance from more senior data and risk specialists.
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