Data & Analytics Lead, Sales & Revenue Operations

HONK Technologies

. Report directly to the CFO .

Posted 9/29/2026full-timeRemote • United StatesSenior💰 $135,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and engineering, with strong capabilities in SQL, Python, and cloud data warehousing. Proficient in building revenue forecasts, pipeline reporting, and integrating data from various systems to support business decisions.

Highest-signal resume keywords

Strong SQLPython ProgrammingSnowflake ExperienceLooker ProficiencyData Modeling with dbt

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalyticsData EngineeringForecastingStatistical ModelingRevenue ForecastingPipeline ReportingAccount ScoringChurn ModelingData TransformationIndependent Problem Solving

Soft Skills

Presentation SkillsIndependent WorkAnalytical Thinking

Tools & Technologies

LookerSnowflakeHubSpotBigQueryDbtAirbyteFivetran

Industry Keywords

SalesOpsRevOpsFP&A AnalyticsMarketplaceOn-DemandLogisticsInsurance

Tech Stack

Tools & technologies

BigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Report directly to the CFO
Determine business needs, find data, fix issues, and overcome blockers independently
Learn how HONK generates revenue through enterprise contracts, job volume, and its provider network
Answer ad-hoc questions from the CFO and sales leadership
Build reporting on pipeline, bookings, win rates, sales cycle, and representative productivity using Looker and Snowflake
Own data flows from HubSpot and other go-to-market systems into Snowflake and BigQuery
Assess current transformations and establish a modeling layer using dbt or similar tools if needed
Build revenue and pipeline forecasts, lead and account scoring, and churn and expansion models
Support territory, quota, and pricing decisions with analysis
Extend reporting across Sales, Marketing, Customer Success, and Finance
Help create a unified revenue truth connecting CRM, billing, and the general ledger

Requirements

What you’ll need

4–8 years in data roles, with hands-on experience in both analytics and data engineering
Strong SQL and Python
Experience with Snowflake or another cloud warehouse
Experience with Looker or another BI tool
Experience working with HubSpot CRM data, or Salesforce data with willingness to learn HubSpot
Track record of working independently, such as being the first data hire, the only data team member, or building from scratch with limited direction
Comfort presenting to finance and company leaders
dbt, Airbyte, Fivetran, or reverse ETL experience is nice to have
Experience with forecasting and statistical modeling is nice to have
SalesOps, RevOps, or FP&A analytics experience at a marketplace, on-demand, logistics, or insurance company is nice to have
Comfort using AI tools in data work is nice to have

Benefits

Comp & perks

Full range of medical, financial, and/or other benefits
Potential commission and other forms of compensation as part of the total compensation package
Remote-first work environment
Ability to work from anywhere in the US
Inclusive and diverse work environment