Data Analyst / Data Product Analyst - DPA#4646

Job Title: Data Analyst / Data Product Analyst

Location: Edmonton, Alberta, Canada

Contract Duration:

• 9 Months

Schedule:

• Monday–Friday
• 08:15 AM – 04:30 PM Alberta Time

Job Summary

"Navitas Healthcare, LLC" is seeking an experienced Data Analyst / Data Product Analyst to support a major regulatory modernization initiative focused on environmental and natural resource regulatory processes. This role will contribute to building scalable, secure, and analytics-ready data solutions that support regulatory oversight, compliance monitoring, and enterprise data initiatives.

The ideal candidate will possess strong expertise in Microsoft Azure data services, data engineering, analytics, and cloud-based data architecture while working within modernized enterprise data management environments.

Key Responsibilities

• Design and implement scalable, secure, and high-performance Azure-based data architecture
• Develop and maintain data ingestion, transformation, and integration pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Manage structured storage and data lake solutions using Azure Data Lake Storage Gen2
• Integrate data from multiple enterprise systems, APIs, ServiceNow, and geospatial platforms
• Build and optimize data workflows using Python and SQL for cleansing, transformation, and analytics
• Develop semantic layers and data models supporting reporting, analytics, and AI initiatives
• Design and expose secure APIs and data services using Azure API Management
• Implement data governance, lineage tracking, metadata management, and classification standards
• Ensure compliance with privacy and security standards including role-based access controls and encryption
• Monitor, troubleshoot, and optimize data pipelines and platform performance
• Utilize AI-assisted tools for automation, testing, monitoring, documentation, and code optimization
• Design high-quality standardized datasets for advanced analytics and future AI use cases

Required Skills & Experience

• Strong experience with Microsoft Azure cloud data platforms
• Hands-on expertise with:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2
  • Azure API Management
• Advanced SQL and Python development experience
• Experience building scalable ETL/ELT pipelines and cloud-native data architectures
• Experience integrating enterprise systems, APIs, and structured/unstructured datasets
• Strong knowledge of data governance, metadata management, and lineage tracking
• Familiarity with privacy and compliance standards such as FOIP and GDPR
• Experience supporting analytics, operational reporting, and machine learning data environments
• Strong troubleshooting, analytical, and communication skills

Preferred Experience

• Experience supporting government or regulatory modernization programs
• Experience with geospatial data platforms and integrations
• Exposure to AI-assisted development and automation tools
• Experience in hybrid cloud and enterprise data environments