Data Technology Analyst III

Summary

Join Servus Credit Union, Alberta's largest member-owned credit union, as a Data Technology Analyst III! This full-time, fully remote position (with periodic visits to the Edmonton office required) offers a competitive salary ($95,828 - $119,786) and excellent benefits. You will be responsible for designing, implementing, and maintaining data solutions across various systems, collaborating with stakeholders and utilizing your expertise in data analysis and programming. As a senior-level analyst, you will play a key role in improving data quality, accessibility, and driving data-driven decision-making. The ideal candidate possesses extensive experience in data technology, data modeling, and programming languages, along with a bachelor's degree in a related field. Servus offers a supportive and inclusive work environment with opportunities for professional development and growth.

Requirements

• 10+ years hands on experience in Data Technology, Data Cloud Platform, or related field
• 6+ years of experience in data modeling, database design, and SQL
• Excellent programming skills in languages such as TSQL, Python, Java, or Scala
• Good knowledge of ETL and data pipeline tools such as Pentaho, SSIS, ADF (Azure Data Factory), AirFlow, Azure Databricks pipeline
• Bachelor's degree or diploma required in Computer Science, Engineering, Management Information Systems or equivalent

Responsibilities

• Collect and analyze data from various sources such as databases, logs, and other data repositories
• Collaborate with senior data roles and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization
• Develop and implement data processing and analysis procedures to improve data quality and accuracy
• Bring forward data quality issues and collaborate with Data Governance teams on solutions and remedies
• Work with specific stakeholders within the organization to understand the impacts of their data issues
• Manage current and future needs in data designs, structures, content, and inventory
• Contribute towards the implementation of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
• Collaborate with others to problem solve production data issues
• Use programming skills, ETL tools, MDM tools, and data virtualization solution to develop, customize and manage integration tools, databases, warehouses, and analytical systems
• Assemble large sets of data that meet non-functional and functional business requirements

Preferred Qualifications

• Experience in the migrating Data Warehouse and Analytics platforms to the cloud
• Experience in Data Warehousing and Data Analytics within a Financial Services organization
• Experience with Agile development methodologies such as Scrum or Kanban
• Master Data Management experience and system support
• Azure cloud certificate
• Databricks certificate

Benefits

• Health and wellness
• Vacation
• Retirement savings programs
• Training & Development Opportunities
• Career Advancement Potential
• Flexible work options
• Competitive Compensation including performance-based incentive pay
• Meaningful work towards individual and corporate goals
• Opportunities to get involved and give back through an employee volunteer program
• Profit sharing
• Voting for the board of directors