HONK Technologies Logo

HONK Technologies

Data & Analytics Lead, Sales & Revenue Operations

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
135K-165K Annually
Senior level
Remote
Hiring Remotely in USA
135K-165K Annually
Senior level
Leads analytics and data engineering for Sales and Revenue Operations. Builds reporting in Looker and Snowflake, manages CRM data flows into cloud warehouses, establishes transformation and modeling layers, and develops forecasts, scoring, churn, and expansion models. Supports territory, quota, pricing, and revenue-truth initiatives while presenting insights to finance and company leadership.
The summary above was generated by AI
Honk is a technology-driven roadside assistance platform that connects enterprise and retail customers with a nationwide network of service providers. We don’t own trucks. We built the marketplace, the dispatch engine, and the data infrastructure that makes the whole thing work. We’re PE-backed, scaling fast, and aggressively investing in automation / AI and excellent talent. 

The Role

    You'll report directly to the CFO. You won't get a detailed spec or a queue of tickets. You'll figure out what the business needs, find the data, fix what's broken and get past blockers on your own. The work starts in Sales Operations and grows into full Revenue Operations.

    Your first 6 months: analyst and engineer

  • Learn how Honk makes money: enterprise contracts, job volume, and the provider network behind them.

  • Answer ad-hoc questions from the CFO and sales leadership quickly and clearly

  • Build trusted reporting on pipeline, bookings, win rates, sales cycle, and rep productivity using Looker and Snowflake

  • Own the data flow from HubSpot and other GTM systems into Snowflake and BigQuery

  • Assess how our transformations are built and maintained today, and set up a proper modeling layer (dbt or similar) if needed

  • After that: scientist and strategist

  • Build revenue and pipeline forecasts, lead and account scoring, and churn and expansion models

  • Support territory, quota and pricing decisions with analysis

  • Extend reporting from Sales into Marketing, Customer Success and Finance, and help create one version of revenue truth that ties CRM, billing and the general ledger together

What we're looking for

  • 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) and Looker (or another BI tool)

  • Experience working with HubSpot CRM data, or with Salesforce data if you're willing to learn HubSpot

  • A track record of working independently: you've been the first data hire or the only one on a team, or you've built something from scratch without much direction

  • Comfort presenting to finance and company leaders

Nice to have

  • dbt, Airbyte, Fivetran or reverse ETL experience

  • Experience with forecasting and statistical modeling

  • SalesOps, RevOps or FP&A analytics experience at a marketplace, on-demand, logistics, or insurance company

  • Comfort using AI tools in your data work (we use Claude and maintain our own plugin marketplace of skills)

Similar Jobs

An Hour Ago
Easy Apply
Remote or Hybrid
Easy Apply
130K-144K Annually
Mid level
130K-144K Annually
Mid level
Food • Software
Own revenue generation by selling ChowNow’s restaurant technology to independent restaurants within an assigned territory. Responsibilities include qualifying leads, managing the sales pipeline, conducting product demos, developing outbound and referral strategies, closing full-cycle deals, nurturing customer relationships, meeting quotas, and completing regular restaurant drop-ins. The role requires approximately 60% travel throughout the territory and collaboration with sales leadership and peers.
Top Skills: Salesforce (Sfdc)
An Hour Ago
In-Office or Remote
186K-298K Annually
Expert/Leader
186K-298K Annually
Expert/Leader
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Own Toast’s multi-year Procure-to-Pay strategy and transformation roadmap. Lead automation and AI initiatives, build investment business cases, negotiate high-value strategic vendor agreements, establish policies and controls, and partner with Finance, IT, Engineering, Legal, and senior leadership. Manage and develop a direct report while driving adoption, stakeholder alignment, and measurable commercial improvements across the procurement function.
Top Skills: Artificial Intelligence (Ai)Procure-To-Pay (P2P) TechnologySource-To-Pay (S2P) TechnologySox ControlsWorkflow Automation
An Hour Ago
Remote or Hybrid
159K-231K Annually
Senior level
159K-231K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop data-centric machine learning solutions for autonomous driving. Design dataset mixtures, curation and mining methods, model-training recipes, scaling studies, and offline evaluations using real and synthetic driving data. Apply self-supervised learning, imitation learning, reinforcement learning, and foundation-model fine-tuning. Train models across large multi-GPU and multi-node datasets, diagnose data-related failures, and collaborate on deploying models into onboard driving systems.
Top Skills: SparkNumpyPandasPythonPyTorchSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account