Senior Analytics Engineer

Are you in search of a company that resonates with your proactive spirit and entrepreneurial mindset? Your search ends here with Premier Truck Rental
!

At Premier Truck Rental (PTR), we provide customized commercial fleet rentals nationwide, helping businesses get the right trucks and equipment to get the job done. Headquartered in Fort Wayne, Indiana, PTR is a family‑owned company built on a foundation of integrity, innovation, and exceptional service. We serve a wide range of industries—including construction, utilities, and infrastructure—by delivering high‑quality, ready‑to‑work trucks and trailers tailored to each customer’s needs.

At PTR, we don’t just rent trucks—we partner with our customers to drive efficiency and success on every job site.

As a Senior Analytics Engineer
, you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise‑wide analytics eraging our modern data stack—including Fivetran
, Snowflake
, dbt
, and Sigma
—you will tackle complex data modeling challenges, establish scalable data models, and build trusted, high‑performance datasets that drive business decision‑making.

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate business requirements into governed, reusable data models while defining best practices for modeling, testing, documentation, and data quality. As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote engineering excellence, and ensure the analytics layer is reliable, scalable, and easy to consume.

This role bridges the gap between data engineering and business intelligence. Your primary focus is delivering clean, trusted, and well‑governed datasets that enable the BI team to create impactful dashboards and insights across the organization.

Onsite in Fort Wayne, IN

PTR is prioritizing candidates located in or willing to relocate to the Fort Wayne, IN market. However, exceptional remote candidates whose experience strongly aligns with the requirements of the role may be considered on a case‑by‑case basis.

This position offers a competitive compensation package, benchmarked to regional market standards. It consists of a base salary plus the opportunity for quarterly profit sharing after one year of employment.

• Core Modeling & Semantic Layer
  :
  Design and build the core dbt models and Sigma datasets/semantic models the business relies on, applying dimensional modeling standards and software engineering best practices (modularity, version control, code review).
• Enterprise Shared Dimensions
  :
  Own the enterprise shared dimensions — customer hierarchy, GL hierarchy, time dimensions, fiscal calendars, territory mappings, and other conformed dimensions used across Finance, Commercial, and Fleet/Ops.
• Performance & Optimization
  :
  Tune model and warehouse performance in Snowflake; optimize SQL transformations and manage compute/cost efficiency as data volume grows.
• Testing, Quality & Observability
  :
  Establish and enforce testing and documentation standards in dbt; partner with the team on data quality and observability practices to ensure trust in all published data assets.
• Mentorship & Standards
  :
  Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns and conventions others follow (naming, layering, environment strategy).
• BI Partnership
  :
  Partner directly with the BI analyst team to translate dashboard and reporting requirements into robust dataset designs that enable reliable self‑service analytics.
• Documentation & Versioning
  :
  Maintain clear documentation of models, datasets, and transformation logic using version control and CI/CD practices so BI Analysts can self‑serve.
• Continuous Improvement
  :
  Identify opportunities to automate manual processes, reduce technical debt, and improve the scalability and reliability of the analytics layer.

MUST HAVE

• Bachelor’s degree in computer science, Analytics, or a related field (or equivalent work experience).
• 5+ years of experience in analytics engineering, data…