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Staff Analytics Engineer

Topline Pro - Boston, MA, USA - In-office - posted 2026-07-31

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Topline Pro is an AI-powered platform helping service businesses (roofers, landscapers, painters, cleaners) acquire direct customers through digital storefronts. Co-founded by Nick Ornitz and Shannon Kay, the YC-backed company has 80+ employees, serves thousands of local service businesses, and was named a top 50 SMB tech company in 2023 and 2024. The company is experiencing rapid growth with strong product-market fit and several years of runway. As Staff Analytics Engineer, you'll own the centralized data infrastructure that serves as the source of truth for the company's most critical operational questions. You'll design and maintain scalable data architectures using dbt and Snowflake, modeling data from systems like Stripe, Twilio, Dialpad, Salesloft, and HubSpot. Your responsibilities include: - Building and governing centralized fact and dimension layers that the entire company depends on, with quality guarantees and clear ownership - Designing performant, scalable dbt/Snowflake data models that handle SaaS-scale datasets efficiently - Deep expertise in Stripe data modeling: payments, subscriptions, revenue recognition, and financial flows - Establishing and codifying standards for SQL optimization, query reusability, documentation, testing, monitoring, and code review - Leading technical execution of complex BI and analytics projects in Hex from design through production - Partnering with engineering, product, operations, and GTM teams to translate business needs into high-impact data solutions You'll need 8+ years in analytics engineering or data engineering with recent depth in modeling for consumption. Required expertise includes SaaS business metrics (MRR, retention, churn, cohorts), advanced SQL with failure-mode awareness, extensive Snowflake and dbt experience, and deep knowledge of subscription billing and payments data. Bonus experience includes Python for ingestion, product analytics tools like Heap, RevOps/CX data stacks, and startup or high-growth SaaS background. The role emphasizes the company's core values: No Bullsh*t (clarity and directness), Think Big Learn Fast (ambitious goals, iterative approach), One Team One Dream (collaboration and shared ownership), and Empower Every Voice (seeking diverse perspectives and clear communication).

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