The Data Analyst will support assessment activities through data discovery, profiling, classification, documentation, and stakeholder engagement. The role serves as the bridge between business, architecture, governance, and technical teams.
Job Summary
The Data Analyst is responsible for identifying where sensitive data exists, understanding how it is used, documenting findings, supporting classification exercises, and validating recommendations. The role will perform detailed analysis of data elements, APIs, interfaces, reports, and downstream systems to provide evidence-based recommendations for governance and remediation.
Key Responsibilities
Conduct data discovery and profiling activities.
Support data classification exercises.
Analyze source and destination data flows.
Identify sensitive data exposure points.
Document current-state processes and findings.
Support data lineage creation.
Facilitate stakeholder workshops.
Validate business and technical assumptions.
Prepare reports, inventories, and assessments.
Support roadmap and recommendation development.
Required Technical Skills
Data Analysis
SQL
Data Profiling
Data Mapping
Data Quality Assessment
Data Lineage Documentation
Excel & Reporting Tools
Metadata Analysis
Business Analysis
Preferred Skills
Data Governance
Privacy Assessment Support
Data Catalog Tools
Reporting & Visualization Tools
Requirements Management
Experience Required
5+ years in Data Analysis, Data Governance, or Business Analysis.
Experience with data assessment or governance programs.
Experience working with business and technical stakeholders.
Education & Preferred Certifications
Education
Bachelor's Degree in Information Systems, Computer Science, Business Analytics, or related field.
Preferred Certifications
CBAP
CCBA
CDMP (Associate)
Data Governance Certifications
Key Deliverables
Data Inventory
Data Classification Matrix
Data Mapping Documentation
Source-to-Target Analysis
Data Exposure Findings
Workshop Outputs
Assessment Documentation
Risk Inputs
Final Assessment Support Artifacts
Key Stakeholders
Business Teams
Data Architects
Security Architects
Data Engineers
Application Owners
Governance Teams
Success Measures / KPIs
Completeness of data discovery activities
Accuracy of data classification
Quality of assessment documentation
Stakeholder validation of findings
Timely delivery of analysis outputs
📌 Ness Digital Engineering Ontario
🏢 CareerBeacon
📍 Ontario
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