Staff Analytics Engineer

About the role

This role involves shaping how data is structured and scaled at Topline Pro. You will build essential data assets, transforming information from various systems into reliable data models. Your contributions will enable teams across the company to make informed decisions with confidence.

Key facts

What you'll do

• Manage the core data assets that provide accurate information for critical company operations, ensuring their quality and governance.
• Design scalable data architectures and well-structured dbt/Snowflake layers that perform efficiently with large SaaS datasets.
• Precisely model Stripe data, including payments, subscriptions, and revenue.
• Establish and share standards for SQL optimization, query reuse, documentation, testing, monitoring, and code review to improve team consistency.
• Lead the technical execution of complex BI and analytics projects in Hex, from initial design to production.
• Collaborate with engineering, product, operations, and go-to-market teams to translate their needs into impactful data solutions.

Requirements

• 8+ years in analytics engineering, data engineering, or a similar individual contributor role, with recent experience in data modeling for consumption.
• Strong understanding of SaaS business metrics (MRR, retention, churn, cohorts, expansion) and the underlying modeling decisions.
• Extensive experience with Snowflake and dbt, including incremental strategies, testing, macros, semi-structured data, and warehouse performance/cost optimization.
• Advanced SQL skills, with the ability to identify potential data inaccuracies before they manifest.
• Deep knowledge of subscription billing and payments data, such as invoices, proration, refunds, and revenue recognition for financial closing.
• Proven track record of managing centralized fact and dimension layers relied upon by the entire company.
• Capability to convert ambiguous business questions into stable data models and elevate team standards through code reviews and documentation.
• An instinct for anticipating potential issues and designing for maintainability.

Nice to have

• Experience using Python for data ingestion (Snowpark, custom connectors, or Fivetran).
• Familiarity with Heap or similar product analytics tools.
• Knowledge of RevOps and CX data stacks (HubSpot, Salesloft, Twilio, Dialpad).
• Previous experience in a startup or high-growth SaaS environment, ideally focused on SMBs or product-led growth.

Skills & tools

• Snowflake
• dbt
• SQL
• Hex
• Stripe
• Twilio
• Dialpad
• Salesloft
• HubSpot
• Python (nice to have)
• Snowpark (nice to have)
• Fivetran (nice to have)
• Heap (nice to have)

Practical notes

Medical, dental, and vision coverage are provided. The company offers a 401(k) plan (non-matching), unlimited vacation, 9 company holidays, and a personal volunteer day. Benefits also include a monthly stipend for mental and physical health, a company-paid Wellhub membership, and dinner covered via Uber Eats.