Senior Analytics Engineer

The Company

Versaterm is a global public safety solutions company helping agencies transform how they serve their communities. Since 1977 weve been building an ecosystem of intuitive tools designed for public safety agencies forensic labs court systems schools and other institutions. Through purposeful integrations and a selective growth strategy we focus on improving workflows to help our customers achieve more efficient operations better service and more just outcomes.

Our teams are driven by innovation expertise and an unwavering commitment to customer success. As we continue to grow and expand our ecosystem youll have the opportunity to contribute to solutions that enhance community safety and transform the future of public safety technology. If youre passionate about making a meaningful difference wed love to hear from you.

The Role

We are seeking a Senior Analytics Engineer to architect and evolveVersatermsengineering metrics ecosystem. This is a highly technical hands-on role responsible for building the data platform integrations and reporting layer thatenablesunified engineering visibility across the organization.

This role goes far beyond dashboard development. You will design and operationalize the data infrastructure that ensures our engineering metrics areaccurate reliable automated and actionable. You will work closely with Engineering and Product leadership to define outcomedriven KPIs and convert raw operational data into insights that guide strategic decision-making.

WhatYoullDo

Build and evolve a scalable engineering analytics ecosystem

• Architect the data infrastructure semantic layer and source integrations required for unified engineering metrics.
• Implement and maintain data pipelines transformations APIs and automation to ensure high-quality consistent data.
• Develop standardized engineering KPIs and dashboards

Develop standardized engineering KPIs and dashboards

• Including but not limited to:
• DORA metrics: deployment frequency lead time MTTR change failure rate
• Delivery health: velocity throughput predictability flow efficiency
• Quality: defect trends escaped defects test coverage signals
• Operational indicators: cycle time WIP backlog health

Integrate data across engineering and product systems

• Jira Confluence Azure DevOps GitHub CI/CD tools
• Aha! (or similar roadmap tooling)
• Incident/support systems where applicable
• Build repeatable data ingestion via APIs webhooks and scheduled pipelines

Ensure data quality and governance

• Implement validation frameworks and data quality checks
• Enforce metric definitions naming conventions and data modeling standards
• Maintain a source-of-truth metrics layer consumable by BI tools

Deliver insights and partner with leadership

• Create executive-ready analytics narratives and recommendations
• Partner with Engineering Directors to align on KPI definitions
• Identifytrends bottlenecks and improvement opportunities to support engineering excellence

Continuously improve

• Enhance models pipelines and metrics as tooling and processes mature
• Champion automation and reduce manual reporting across engineering

WhatYoullBring

• Bachelors degree in Computer Science Engineering Data Engineering or a related field
• 8 years in analytics engineering data engineering or technical analytics roles
• Strong experience with SQL and data transformation tools ( similar)
• Proven experience integrating data from systems such as Jira Azure DevOps GitHub CI/CD pipelines
• Expertisebuilding dashboards in BI platforms (Power BI Tableau Looker or similar)
• Experience designing scalable production-quality data models and semantic layers
• Working knowledge of APIs Python (or similar) automation frameworks ELT/ETL concepts
• Strong understanding of the software development lifecycle DevOps metrics and engineering processes
• Ability to translate complex engineering datasets into clear insights for senior leadership
• A practical execution-focused mindset with a drive to create durable repeatable solutions

Note: This position requires a security clearance from the Government of Canada. Candidates must be legally authorized to work in Canada and must successfully obtain andmaintaina Reliability security clearance. Please note that specific customer contracts may imposeadditionalsecurity verification requirements. Obtaining andmaintainingall required security clearances is a condition of employment. For more information on the Government of Canadas security screening process please visitPublic Services and Procurement Canada.

Versaterm is committed to fair and equitable compensation that is competitive consistent and aligned with the value each role contributes to our organization. The starting salary for this position will be dependent upon many factors such as the successful candidates skills experience education training as well as internal equity market data and business addition to base salary and our comprehensive benefits offering some roles may also be eligible for variable compensation such as incentive plans or discretionary performance bonuses.

Versaterm does not use AI in the recruitment process. All stages of recruitment decisions are lead by people including our qualified acquisition team and our experienced hiring managers.

Versaterm is an equal opportunity employer and is committed to equity diversity inclusion and a barrier-free workplace. Accommodations are available upon request throughout all stages of the recruitment process and apply to the terms and conditions of employment. For more information please contact.