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HONK Technologies is a PE-backed, technology-driven roadside assistance marketplace that connects enterprise and retail customers with a nationwide network of service providers. The company has built the marketplace platform, dispatch engine, and data infrastructure that powers the operation.
You will report directly to the CFO and own the data strategy for Sales and Revenue Operations. This is an autonomous role where you'll identify business needs, source data, resolve blockers, and drive insights without a detailed spec or ticket queue.
FIRST 6 MONTHS (Analyst & Engineer):
- Learn HONK's revenue model: enterprise contracts, job volume, and provider network dynamics
- Answer ad-hoc questions from CFO and sales leadership with speed and clarity
- Build trusted reporting on pipeline, bookings, win rates, sales cycle, and rep productivity using Looker and Snowflake
- Own the data pipeline from HubSpot and other GTM systems into Snowflake and BigQuery
- Assess current data transformation architecture and implement a proper modeling layer (dbt or similar) if needed
SUBSEQUENT PHASE (Scientist & Strategist):
- Develop revenue and pipeline forecasts, lead and account scoring models, and churn/expansion analysis
- Support territory, quota, and pricing decisions with quantitative analysis
- Expand reporting across Sales, Marketing, Customer Success, and Finance
- Create a single source of truth for revenue that reconciles CRM, billing, and general ledger data
REQUIREMENTS:
- 4–8 years in data roles with hands-on experience in both analytics and data engineering
- Strong SQL and Python proficiency
- Experience with Snowflake (or equivalent cloud warehouse) and Looker (or equivalent BI tool)
- Experience working with HubSpot CRM data, or Salesforce data with willingness to learn HubSpot
- Track record of independent work: first data hire, solo team member, or building from scratch with minimal direction
- Ability to present clearly to finance and company leadership
NICE TO HAVE:
- dbt, Airbyte, Fivetran, or reverse ETL experience
- Forecasting and statistical modeling background
- SalesOps, RevOps, or FP&A analytics experience at a marketplace, on-demand, logistics, or insurance company
- Comfort using AI tools (Claude) in data workflows
