Senior Analytics Engineer

The Company

Versaterm is a global public safety solutions company helping agencies transform how they serve their communities. Since 1977, we've 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, you'll have the opportunity to contribute to solutions that enhance community safety and transform the future of public safety technology. If you're passionate about making a meaningful difference, we'd love to hear from you.

We are seeking a Senior Analytics Engineer to architect and evolve Versaterm's engineering metrics ecosystem. This is a highly technical, hands‑on role responsible for building the data platform, integrations, and reporting layer that enables unified 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 are accurate, reliable, automated, and actionable.

You will work closely with Engineering and Product leadership to define outcome‑driven KPIs and convert raw operational data into insights that guide strategic decision‑making.

• 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, 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 Dev Ops, Git Hub, 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 by implementing validation frameworks and data quality checks, enforcing metric definitions, naming conventions, and data modeling standards, and maintaining a source‑of‑truth metrics layer consumable by BI tools.
• Create executive‑ready analytics, narratives, and recommendations; partner with Engineering Directors to align on KPI definitions; identify trends, bottlenecks, and improvement opportunities to support engineering excellence.
• Continuously improve models, pipelines, and metrics as tooling and processes mature, champion automation and reduce manual reporting across engineering.

• Bachelor's 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 (e.g., dbt or similar).
• Proven experience integrating data from systems such as Jira, Azure Dev Ops, Git Hub, CI/CD pipelines.
• Expertise building 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, Dev Ops 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.

This position requires a security clearance from the Government of Canada. Candidates must be legally authorized to work in Canada and must successfully obtain and maintain a…