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.

The Role

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.

What You’ll Do

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
Identify trends, 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

What You’ll Bring

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 DevOps, GitHub, 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, 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 and maintain a Reliability security clearance. Please note that specific customer contracts may impose additional security verification requirements. Obtaining and maintaining all required security clearances is a condition of employment. For more information on the Government of Canada's security screening process, please visit Public 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 candidate’s skills, experience, education, training as well as internal equity, market data, and business needs. In 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 info@versaterm.com.