Steer · 2 days ago
Lead Product Data Analyst
Austin, TX
Full-time
Onsite
Lead/Staff
8+ years expSteer is a company that offers a suite of software tools for automotive repair shops, and they are seeking a Lead Product Data Analyst to join their team. This role involves building the data tech stack, shaping the data culture, and developing innovative data-driven products to support high growth within the organization.
AutomotivePersonal Finance
Responsibilities
Establish Trust and Cleanliness (The "Dirty Work"): We are transparent: there is significant work to be done to clean our data before the "fun" analysis can begin. You will proactively find the messiness in our data sources and identify gaps in our tracking. You understand that rigorous data cleaning is the prerequisite to interesting modeling
Build the Modern Stack (BI as Code): You will treat analytics like software. You will help us choose and deploy dbt (data build tool) and a modern BI platform, building version-controlled models and CI/CD pipelines to ensure our data logic is tested, documented, and reliable. You will utilize modern AI tooling (Copilot) to accelerate development, actively working to reduce build times and optimize costs as we scale
Enable Self-Service via "Explore" Environments: You will not just build dashboards; you will implement "Explore" environments and certified semantic layers that allow non-technical stakeholders to answer their own questions safely
Master Three Data Domains: You will be responsible for synthesizing insights across three critical areas: The Unified Customer View: You will tackle our biggest data challenge—joining disparate data sets (Product data, HubSpot CRM, and Chargebee billing) to create a single, trusted view of the customer. You will enable us to answer "Who is using the product, are they paying, and are they happy?" in one query. Leadership & GTM Strategy: You will partner with Sales, Marketing, and CS leadership to present high-level business metrics (funnel health, retention trends), ensuring our executives are navigating with a clear dashboard. Product Data: Analyzing feature adoption and user behavior to support Product Managers. Shop Health & Industry Trends: You will analyze aggregate data on how our customers' businesses are performing. Your insights will allow our CS and Marketing teams to act as trusted advisors to shop owners, help Product build the right tools to solve shop problems, and position our company as the industry expert on automotive trends
Master Event-Based Analytics: You will go beyond transactional SQL. You will define and analyze the user journey through clickstream data, distinguishing between "active users" and "engaged users" to drive our product innovation
Collaborate with Engineering: You will act as a strategic partner, not a siloed analyst. While we have Data Engineering support to help move the bits, we rely on you to define the logic. You will work directly with software engineers to define tracking specifications (schema design) before features are shipped
Drive Data Culture: You will move the company away from "gut feel" and reliance on ad-hoc CSV exports. You will train stakeholders on how to use data, helping them understand the difference between a "vanity metric" and a "growth lever."
Qualification
Required
8+ years of experience in product analytics, analytics engineering, or data science
The 'Modern Analyst' Toolkit: You are comfortable with Command-Line Interfaces (CLI), Git-based version control, and CI/CD pipelines. You understand that modern analytics is a software engineering discipline
Deep dbt Expertise: You have extensive experience using dbt to build clean, tested, and documented data models. You know how to structure a project for scale
Event-Based Analytics Mastery: You have deep expertise in analyzing user behavior (clickstream data) using tools like Amplitude, Mixpanel, or Heap. You understand the difference between analyzing transactions (SQL) and events (User Journeys)
Builder Mindset: You have successfully built a stack (tools/processes) from scratch in a previous role. You don't wait for permission to fix broken processes
Data Quality Obsession: You spot when a number 'looks wrong,' and you have the curiosity to dig in, find the root cause, and fix the definition
Preferred
Experience with ELT Tools: Familiarity with configuring modern connectors like Fivetran or Airbyte
AI/LLM Familiarity: Experience using LLMs to accelerate data exploration, generate semantic layers, or enhance productivity
Experience merging data from multiple product lines (e.g., post-acquisition integration)
Familiarity with the data schemas of Product databases, HubSpot, and Chargebee (or similar CRM/Billing platforms)
Experience working with Snowflake
Background in B2B SaaS
Ability to commute to the Waltham office on occasion
Benefits
100% remote work environment
Medical, Dental and Vision insurance within 30 days
100% employer-paid medical insurance
Equity package
Flexible PTO with 15 days minimum
Generous Parental Leave
FSA and HSA options
401(k)
Learning Stipend
WFH Equipment
Chance to work with the latest technology
A collaborative, high ownership culture
Opportunities for development and career growth
Company
Steer
Steer is a marketing and communications platform built to help auto repair shops grow.
51-200 employees
H1B Sponsorship
Steer has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (2)
2023 (6)
2022 (3)
2021 (11)
2020 (2)
Funding
Current Stage
Growth StageLeadership Team
Parker Swift
Founder & CEO
James Harris
Manager, Sales Partnerships
Company data provided by crunchbase