Senior Analytics Strategist, Go-to-Market
JobNimbus
Lehi, UT · Posted November 10, 2026
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Where Lehi, UT ranks
Where Lehi, UT placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for entry-level jobs that want AI skills in the Mountain West28% · of 16
- #1Best cities for AI-skill jobs in the Mountain West32% · of 19
- #2Cities with the most hybrid jobs in the Mountain West24% · of 18
- #2Cities where the biggest share of jobs do not need a four-year degree in the Mountain West17% · of 14
- #3Best cities for director and executive jobs in the Mountain West19% · of 19
- #6Cities with the most jobs that do not need a four-year degree in the Mountain West33 jobs · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Skills this job asks for
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About the job
We are obsessed with the hero's journey at JobNimbus. Every person has a hero's journey—Hermione Granger, James T. Kirk, Frodo Baggins, Anna & Elsa, Nacho Libre, and even YOU! This is our “call to adventure” to come check out JobNimbus. What do you have to lose? You might make a few new friends, learn about a sick new company doing some amazing things, and maybe even land a new job!
Mission:
Make JobNimbus's go-to-market data something leadership can bet on. You will own the data behind Sales, Marketing, and Customer Success, from how it is captured in HubSpot to the numbers executives see in dashboards and reporting. Then you will use it to answer the questions that move revenue: where pipeline leaks, which channels actually pay back, and which customers are about to leave.
You sit on the data team, not in RevOps. That means you are the person who decides what "clean" means for GTM data and who is accountable when the numbers don't match.
What You'll Be Doing:
Own GTM data integrity. Be the owner of the HubSpot data model: objects, properties, lifecycle stages, associations. Define the standards, find the breaks, and get them fixed at the source.
Keep the pipeline honest. Partner with Data Engineering on the HubSpot to Snowflake to Reporting flow. Write the tests and checks that catch bad data before it reaches a dashboard.
Define the metrics. Own GTM metric definitions (pipeline, conversion, CAC, payback, attribution, retention) in our semantic layer so every team uses the same number.
Do the analysis that changes decisions. Funnel and attribution models, pipeline forecasting, rep and channel performance, churn and expansion signals. Go past "what happened" to "what we should do."
Partner with GTM leadership. Work directly with Sales, Marketing, CS, and RevOps leaders. Turn their questions into analysis and their recurring questions into self-serve reporting.
Use AI to go faster. We build with Claude and other AI tools daily for SQL, data checks, and analysis. You will too.
What Makes You the Hero for This Job:
5+ years in analytics, BI, or revenue operations, with a lot of that time supporting Sales, Marketing, or RevOps teams.
Deep CRM data experience in HubSpot or Salesforce. You know the object model, how syncs and integrations break, and how bad process turns into bad data.
Strong SQL and comfort in a cloud warehouse (Snowflake preferred). Experience with a BI or semantic layer tool (Omni, Looker, Tableau, or similar). dbt is a plus.
GTM fluency: pipeline stages, lead and lifecycle definitions, attribution, CAC, LTV, conversion velocity, churn.
You have built data quality checks or governance that stuck, not just cleaned a spreadsheet once.
You can explain a messy data problem to a VP of Sales in plain language and get a decision.
You already use AI tools to write code and speed up analysis.
Nice to have
Statistical modeling or forecasting experience (attribution, propensity, churn models).
Python for analysis.
B2B SaaS, ideally SMB or vertical SaaS.
Superpowers:
Extreme Ownership. You own the outcomes, drive initiatives, and solve problems proactively. If you need direction and someone to hold your hand, this job is not for you.
Customer Obsessed. The numbers you protect decide how we serve thousands of contractors. You care that they are right.
Proactive Learning. You stay ahead of the curve, continuously learning and putting new tools to work.
Team Commitment. You win with Data Engineering, RevOps, and GTM leaders, not around them.
Self Awareness. You know your strengths, weaknesses, and how to surround yourself with the right people to succeed.
Mentor (Hit us up to get more information)
Dustan Halbach - Specialist in hiring amazing people, lover of the outdoors, hunting, fly fishing, snowboarding, hockey and golf.