Lead Data Analyst Location: Ontario (Hybrid) Need someone with Retail Loyalty or Retail domain experience.

Role Purpose 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

📌 Lead Data Analyst (Ontario)
🏢 Gala Solutions
📍 Ontario