Data Analyst - DA 26-03972

Job Title: Data Analyst
Location: Edmonton, AB (Remote/Hybrid)
Duration: 7 Months (with possible extension up to 24 months)

Note: Candidates interested to apply for this role must be eligible to apply for Security Clearances.

Role Summary

A public sector organization is undertaking a large-scale digital transformation initiative to enhance service delivery and improve user experiences for citizens. As part of this effort, a Data Analyst is required to support service innovation, program reviews, and digital transformation projects.

The Data Analyst will work within cross-functional teams using agile methodologies and human-centered design approaches to analyze current services, identify opportunities, and deliver data-driven solutions.

Key Responsibilities

Data Engineering

• Design, develop, and maintain scalable data pipelines for large datasets across on-premise (e.g., SSIS) and cloud platforms (Azure, AWS, Google Cloud Platform).
• Ensure data integrity, accuracy, and availability for business and analytical use.
• Optimize and enhance ETL processes and data workflows.
• Implement data governance, security, and best practices.
• Manage and support data storage solutions such as data lakes and data warehouses.
• Collaborate with engineers, data scientists, and business stakeholders to define and deliver data solutions.
• Work with SQL and NoSQL databases for data processing and integration.

Data Analytics

• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop dashboards, reports, and visualizations using BI tools (e.g., Power BI).
• Conduct statistical analysis and support data-driven decision-making.
• Communicate findings and recommendations clearly to stakeholders.
• Extract and manipulate data using SQL and other query languages.
• Develop performance metrics, service dashboards, and reporting frameworks.
• Support agile teams by delivering insights iteratively and enhancing analytics capabilities.
• Contribute to improving service delivery through data modeling and strategy development.

Security Requirements

• Candidates may be required to obtain enhanced security clearance prior to onboarding.
• Additional higher-level clearances (e.g., federal-level) may be required during the assignment.
• Final selection is subject to successful clearance approval.

Required Qualifications

• Strong experience in both data engineering and data analytics.
• Proven ability to work with large, complex, and disparate datasets.
• Experience with cloud platforms (Azure, AWS, or Google Cloud Platform).
• Proficiency in SQL and data modeling techniques.
• Experience with BI tools such as Power BI or similar.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile environments and cross-functional teams.

Preferred Qualifications

• Experience supporting digital transformation initiatives.
• Familiarity with public sector or large enterprise environments.
• Knowledge of data governance and security best practices.

Additional Information

• Opportunity to work on high-impact digital transformation initiatives.
• Collaborative and innovative work environment focused on modern data practices.