Senior Analytics Engineer

9 hours, 9 minutes ago
Full-time
Lead
Data Science and Analytics
Versaterm

Versaterm

Versaterm Public Safety is a leading developer of integrated software solutions for First Responders in Canada and the United States. They focus on customer experience and outcomes, empowering public safety agencies to transform their organizations. Ve...

Internet Software & Services
51-250
Founded 1977

Description

  • Architect the data infrastructure, semantic layer, and source integrations 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 covering delivery, quality, and operational health.
  • Integrate data from engineering and product systems such as Jira, Confluence, Azure DevOps, GitHub, CI/CD tools, and roadmap software.
  • Build repeatable data ingestion processes using APIs, webhooks, and scheduled pipelines.
  • Implement validation frameworks, data quality checks, and governance standards.
  • Enforce metric definitions, naming conventions, and data modeling standards.
  • Maintain a source-of-truth metrics layer that can be consumed by BI tools.
  • Create executive-ready analytics, narratives, and recommendations for leadership.
  • Identify trends, bottlenecks, and improvement opportunities to support engineering excellence and automation.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Engineering, or a related field.
  • 8+ years of experience in analytics engineering, data engineering, or technical analytics roles.
  • Strong experience with SQL and data transformation tools such as dbt or similar.
  • Proven experience integrating data from systems such as Jira, Azure DevOps, GitHub, and CI/CD pipelines.
  • Expertise building dashboards in BI platforms such as Power BI, Tableau, Looker, or similar.
  • Experience designing scalable, production-quality data models and semantic layers.
  • Working knowledge of APIs, Python or similar languages, automation frameworks, and 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.
  • Must be legally authorized to work in Canada and able to obtain and maintain a Government of Canada Reliability security clearance.
  • Additional security verification requirements may apply based on customer contracts.

Benefits

  • Competitive base salary with compensation influenced by skills, experience, education, internal equity, market data, and business needs.
  • Eligibility for variable compensation such as incentive plans or discretionary performance bonuses.
  • Comprehensive benefits offering.
  • Equal opportunity employer with a commitment to equity, diversity, inclusion, and a barrier-free workplace.
  • Accommodations available upon request throughout the recruitment process.
  • No AI used in the recruitment process; decisions are made by people.

Interested in this position?

Apply directly on the company website

Apply Now

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