Data Analyst (GOAPRDJP00000927)

Please send your resume at if you are interested in this 09 month (06/01/2026 to 03/31/2027) contract role. Please feel free to forward if you are not interested. This is with Govt of Alberta.

Data Analyst (GOAPRDJP00000927) Work Status: Hybrid: Meetings may occur up to 3–4 times (or more) per fiscal month, but the actual frequency will depend on the specific initiative and will be determined on an on-demand basis. Work Location: 9942 - 108 Street, Edmonton, Alberta Must Have: Education Post-Secondary degree, diploma or certificate in Computer Science or related field of study. Must Have: Work Experience 3 years experience building scalable data pipelines with Azure Databricks, Delta Lake, Workflows, Jobs, and Notebooks, plus cluster management.

Extending solutions to Synapse Analytics and Microsoft Fabric is a plus. 3 years experience designing data solutions for analytics-ready, trusted datasets using tools like Power BI and Synapse, including semantic layers, data marts, and data products for self-service, data science, and reporting 2 years experience in data governance, security, and metadata management within a Databricks-based platform. 4 years experience in Github/Git for version control, collaborative development, code management, and integration with data engineering workflows. 3 years experience with Azure services (Storage, SQL, Synapse, networking) for scalable, secure solutions, and with authentication (Service Principals, Managed Identities) for secure access in pipelines and integrations 5 years experience in Python (including PySpark) and SQL, applied to developing, orchestrating, and optimizing enterprise-grade ETL/ELT workflows in a large-scale cloud environment. 5 years years 1 year use of AI-Experienced in using AI for code generation, data analysis, automation, and enhancing productivity in data engineering workflows. Nice to Have: Work Experience 6 years direct, hands-on experience performing business requirement analysis related to data manipulation/transformation, cleansing and wrangling. 6 years experience and strong technical knowledge of Microsoft SQL Server, including database design, optimization, and administration in enterprise environments. 2 years experience extending or integrating data solutions with Azure Synapse Analytics and Microsoft Fabric (Lakehouse, Warehouse, Semantic Models). 1 year direct experience building data products in Government of Alberta cloud environment 2 years experience building scalable ETL pipelines, data quality enforcement, and cloud integration using TALEND technologies. 3 years skilled in building secure, scalable RESTful APIs for data exchange, with robust auth, error handling, and support for real-time automation. 5 years experience working with cross-functional teams to create software applications and data products 1 years experience working with ServiceNow- Azure based Data Management Platform Integrations. 3 years experience in Message Queueing Technologies, implementing message queuing using tools like ActiveMQ and Service Bus for scalable, asynchronous communication across distributed systems. Project Name: Digital Regulatory Assurance System Scope: The Data Product Analyst – Intermediate will primarily support the Digital Regulatory Assurance System (DRAS) program, where high quality, timely analytics are essential to regulatory and compliance functions.

As data and analytics maturity increases, the role may be expanded to support additional enterprise data initiatives. Modernization initiatives across the Government of Alberta are fundamentally changing how ministry users collect, manage, analyze, and use data as legacy systems are transformed into modern Data Management and Geospatial Platforms. This shift requires dedicated analytical capacity to ensure that the value of modernized data assets is fully realized.

DRAS is a Government of Alberta regulatory transformation initiative led by Environment and Protected Areas (EPA) to modernize, digitize, and streamline environmental and natural resource regulatory processes. DRAS supports the full regulatory lifecycle, from application and authorization to monitoring, compliance, remediation, and closure through a single, consolidated digital platform As DRAS development continues, the volume, variety, and complexity of structured data continue to grow, creating a sustained need for dedicated data engineering and data product expertise. The Data Product Analyst role is critical to ensuring that modernization delivers tangible business value.

This role will design, build, and operate reliable data pipelines that ingest and integrate data into the DMP, apply standardized transformations, enforce data quality and governance controls, and produce trusted, analytics‑ready datasets that support regulatory oversight, compliance monitoring, and evidence‑based decision‑making aligned with DRAS objectives. Duties: Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure, supporting both cloud-native and hybrid environments. Lead the development of data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

Work with the Data Architect and manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2, ensuring efficient access and governance. Integrate data from diverse source systems including ServiceNow, and geospatial systems, using APIs, connectors, and custom scripts. Develop and maintain robust data models and semantic layers to support operational reporting, analytics, and machine learning use cases.

Build and optimize data workflows using Python and SQL for data cleansing, enrichment, and advanced analytics within Azure Databricks. Design and expose secure data services and APIs using Azure API Management for downstream systems. Implement data governance practices, including metadata management, data classification, and lineage tracking.

Ensure compliance with privacy and regulatory standards (e.g., FOIP, GDPR) through role-based access controls, encryption, and data masking. Monitor and troubleshoot data pipelines and integrations, ensuring reliability, scalability, and performance across the platform. Utilize AI and automation tools to streamline data engineering workflows, including pipeline development, testing, monitoring, and documentation.

Leverage AI-assisted tools for code generation, optimization, and review to improve development efficiency and code quality. Design and curate standardized, high‑quality datasets that are suitable for advanced analytics and future AI use cases. Other duties as needed Working Hours: Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding holidays observed by the Province Work must be done from within Canada, due to network and data security issues.

It is anticipated the role will be remote, however in the event of an onsite meeting, the GoA does not pay for travel to attend on-site meetings, nor any expenses related to relocation, commuting, housing/accommodation, food/drink. Notes on Location: The resource will work remotely but must be available for on-site meetings as required. These meetings may involve strategic, analytical, or technical discussions and may include engagement with team members, senior managers, directors, executive directors, or business clients.

On-Site Meeting Frequency: Meetings may occur up to 3–4 times (or more) per fiscal month, but the actual frequency will depend on the specific initiative and will be determined on an on-demand basis. On-Site Location: Meetings will take place in Edmonton, Alberta, at one of the Government of Alberta buildings. The resource will be provided with details regarding the meeting location in advance.

This policy ensures flexibility for remote work while maintaining the ability to collaborate effectively during key on-site engagements. However, time to travel and any associated expenses to and from Edmonton and/or travel within Alberta will be at no cost to the Province. Anticipated Interviews Dates will be held between May 25 - 29, 2026 Scoring Methodology: Financial/Pricing: 20% Resource Qualifications: 20% Interview Process: 60% SUBMISSION MUST INCLUDE: RESUME ALL REQUIRED EXPERIENCE MUST BE DESCRIBED IN RESUME UNDER THE JOB/PROJECT WHERE EXPERIENCE WAS ATTAINED.

EACH JOB/PROJECT MUST CONTAIN THE TERM OF THE JOB/PROJECT IN THE FORMAT MMM/YYYY to MMM/YYYY. RESOURCE REFERENCES Three references, for whom similar work has been performed, must be provided. The most recent reference should be listed first.

Reference checks may or may not be completed to assist with scoring of the proposed resource.