Senior Analytics Engineer

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Dynatron Software, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

☁️ SaaS

Automotive • SaaS • Analytics

Dynatron Software, Inc. is a company that combines advanced analytics software with expert coaching to help automotive service departments maximize their revenue opportunities. Their product suite includes various solutions like PriceSmart for optimizing labor and part pricing, FileSmart for enhancing warranty labor rates and parts markup, SellSmart for increasing service sales to existing customers, and MarketSmart for boosting service department traffic through strategic marketing campaigns. With a focus on increasing profitability, Dynatron collaborates closely with dealerships to identify and capitalize on hidden revenue streams using their proprietary analytics and extensive repair order database.

📋 Description

• Responsible for transforming raw data into clean, reliable, and well-documented models that power analytics. • Design, build, and maintain transformation layers in dbt, following best practices for data modeling. • Own the semantic and metrics layer, defining governed, version-controlled business metrics. • Partner with BI developers to expose trusted datasets through BI tools. • Build and maintain documentation, data dictionaries, and lineage for stakeholders. • Own end-to-end data validation by building automated tests into the transformation workflow. • Collaborate on operationalizing analytics within services such as Snowflake Cortex and Databricks AI. • Mentor junior analysts and engineers in SQL and dbt best practices.

🎯 Requirements

• 6-8+ years of experience in analytics engineering, data analytics, or data engineering with a focus on data modeling and transformation. • Demonstrated experience owning the complete development lifecycle, from requirements and design through testing, deployment, and production launch. • Very strong, expert-level SQL and Python skills for transformation, automation, and tooling. • Deep hands-on experience with dbt (Core or Cloud) building modular, tested, version-controlled transformation pipelines. • Deep hands-on experience with Snowflake or Databricks, ideally within an AWS ecosystem. • Proven track record delivering governed metrics and curated datasets to BI tools such as Tableau, Power BI, or Looker. • Bonus: Hands-on experience building and maintaining analytics model libraries across core business domains. • Experience working with data governance tools and platforms such as KNIME. • Demonstrated experience implementing automated testing frameworks, data profiling, and pipeline validation. • Strong documentation habits and an ownership mindset. • Relevant IT professional certifications are nice to have.

🏖️ Benefits

• Remote-first environment offering flexibility, autonomy, and trust. • Opportunity to build and scale the data foundation of a growing, AI-enabled SaaS company. • High-impact role supporting real-time analytics, machine learning, enterprise reporting, and product innovation. • Close partnership across Data, Product, Engineering, Analytics, and business leadership. • Values-driven culture built on accountability, urgency, and delivering measurable results.