Lead Product Data Analyst

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Steer offers a suite of software tools for today’s automotive repair shop. We combine a mix of software tools that a repair shop needs to run a highly profitable shop, in one user‑friendly, cost‑effective platform. Through the Steer suite, we allow the shop owner to get back to focusing on what matters, and to stop worrying about marketing and customer retention.

Steer began as an online directory for drivers to find a local mechanic. Fast forward to today, Steer has launched a complete Customer Relationship Management (CRM) marketing suite, complete with text messaging, email automation, direct mail integration, reputation management, appointment reminders, declined/recommended services, and many other features. We are always innovating and we are proud to be a leader in the automotive repair industry.

In August 2024 Steer acquired Auto Ops – the leader in modern, intelligent, and fully integrated scheduling software for auto repair shops. Auto Ops allows customers to smoothly schedule through a shop’s website and Google Business Profile.

We are looking for a versatile and highly experienced Lead Product Data Analyst to join our team. Reporting to the VP of Product & Data, you will play a foundational role in building our data tech stack, shaping our data culture, and helping build innovative data‑driven products.

The data team is not a service desk. We operate as a product team, building the data assets that help us innovate on product and maintain high growth. You will replace “gut feel” with scalable, self‑serve data assets—such as version‑controlled dbt models, certified semantic layers, and predictive scoring mechanisms—that empower the wider organization to make decisions without constant intervention.

This is a builder’s role. You will help define how we extract value from our data, turning raw inputs into a strategic asset. You won’t just be running queries; you will be establishing trust in our numbers, helping select the right tools for our stack, and enabling the leadership team to make decisions with confidence.

You will need to be comfortable working across the entire data lifecycle, and you must be willing to get your hands dirty first. On Monday, you might be scrubbing historical data to fix a discrepancy; on Tuesday, you might be answering ad‑hoc SQL questions for the Executive Team; and on Wednesday, you might be prototyping a proprietary predictive model to forecast service demand for our shops.

We need someone who thrives in ambiguity and values speed, clarity, and truth.

• Establish Trust and Cleanliness (The "Dirty Work"):
  Proactively find the messiness in our data sources and identify gaps in our tracking. Understand that rigorous data cleaning is the prerequisite to interesting modeling.
• Build the Modern Stack (BI as Code):
  Treat analytics like software. Help us choose and deploy dbt and a modern BI platform, building version‑controlled models and CI/CD pipelines to ensure our data logic is tested, documented, and reliable. Utilize modern AI tooling (Copilot) to accelerate development and reduce build times.
• Enable Self‑Service via "Explore" Environments:
  Build dashboards and implement "Explore" environments and certified semantic layers that allow non‑technical stakeholders to answer their own questions safely.
• Master Three Data Domains:
  Synthesize insights across
  • Unified Customer View – join disparate data sets (Product data, Hub Spot CRM, and Chargebee billing) to create a single, trusted view of the customer.
  • Leadership & GTM Strategy – partner with Sales, Marketing, and CS leadership to present high‑level business metrics (funnel health, retention trends).
  • Product Data – analyze feature adoption and user behavior to support Product Managers.
  • Shop Health & Industry Trends – analyze aggregate data on how our customers’ businesses are performing to guide CS and Marketing teams.
• Master Event‑Based Analytics:
  Define and analyze the user journey through clickstream data, distinguishing between "active users" and "engaged users" to drive product innovation.
• Collaborate with Engineering:
  Act as a…