Data Analyst Data Product Analyst DA 26-05822

Job Title: Data Analyst / Data Product Analyst

Location: Edmonton AB
Duration: 9 Months

Project Overview

This role supports a large-scale regulatory modernization initiative focused on transforming how data is collected managed and utilized across enterprise platforms. The program aims to digitize and streamline regulatory processes across the full lifecyclefrom application and authorization to compliance monitoring and closurethrough a unified digital platform.

As part of ongoing modernization the volume and complexity of structured and geospatial data are rapidly increasing. This role plays a key part in ensuring that data assets are reliable governed and optimized for analytics and decision-making.

Role Summary

The Data Product Analyst (Intermediate) will design build and maintain scalable data solutions that enable high-quality analytics and reporting. The role focuses on developing data pipelines managing data platforms enforcing governance standards and delivering analytics-ready datasets to support regulatory compliance and operational needs.

Key Responsibilities

• Design and implement scalable secure and high-performance data architectures on Microsoft Azure
• Develop and maintain data ingestion transformation and integration pipelines using:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
• Manage data lakes and structured storage solutions using Azure Data Lake Storage Gen2
• Integrate data from diverse systems (e.g. ITSM tools geospatial platforms) using APIs and connectors
• Build and maintain data models and semantic layers for reporting analytics and ML use cases
• Develop and optimize workflows using Python and SQL for data processing and analytics
• Design and expose secure APIs and data services using Azure API Management
• Implement data governance practices including:
  • Metadata management
  • Data classification
  • Data lineage tracking
• Ensure compliance with privacy and regulatory standards (e.g. data protection and access controls)
• Monitor troubleshoot and optimize data pipelines for performance and reliability
• Leverage AI and automation tools to enhance development efficiency and data workflows
• Deliver high-quality standardized datasets for advanced analytics and future AI applications
• Perform other duties as required

Required Skills & Qualifications

• Strong experience with Microsoft Azure data services
• Hands-on expertise in:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2
• Proficiency in Python and SQL
• Experience with data modeling data integration and ETL pipelines
• Knowledge of API integration and data services development
• Familiarity with data governance and data quality frameworks
• Understanding of regulatory and privacy compliance requirements
• Strong problem-solving analytical and communication skills

Work Environment & Equipment

• Candidates must provide their own computer and equipment compatible with remote access environments
• Windows OS preferred for compatibility with virtual desktop tools
• Remote or hybrid work may be required based on project needs
• All necessary system access and credentials will be provided

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