REMOTE - Data Science Analyst

Job Title: Data Analyst

Edmonton, AB (Remote/Hybrid)

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, GCP).
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.
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.
Candidates may be required to obtain enhanced security clearance prior to onboarding.
federal-level) may be required during the assignment.
Strong experience in both data engineering and data analytics.
Experience with cloud platforms (Azure, AWS, or GCP).
Proficiency in SQL and data modeling techniques.
Experience with BI tools such as Power BI or similar.
Experience working in Agile environments and cross-functional teams.
Experience supporting digital transformation initiatives.
Familiarity with public sector or large enterprise environments.
Knowledge of data governance and security best practices.
Opportunity to work on high-impact digital transformation initiatives.
Collaborative and innovative work environment focused on modern data practices.