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Posthog Jobs in Colorado (NOW HIRING)

HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is ...

Senior Data Engineer

Boulder, CO · On-site

$109K - $149K/yr

Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling ...

Data Analyst

Denver, CO · On-site

$120K - $150K/yr

HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is ...

Senior Data Engineer

Boulder, CO · On-site

$111K - $151K/yr

Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems. Design incremental loading, write dispositions, and scheduling ...

HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is ...

HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is ...

Data Analyst

Denver, CO

$120K - $150K/yr

HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is ...

Sr Product Manager, Card

Denver, CO · On-site

$100K - $140K/yr

Familiarity with product analytics tools (Amplitude, Posthog, Segment, or equivalent). * Familiarity with design tools such as Figma, and knowledge of UX design best practices. Perks & Benefits

New

Mobile Engineer

Denver, CO · On-site

$90K - $200K/yr

... use PostHog) and view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

Senior Mobile Engineer

Denver, CO · On-site

$137K - $171K/yr

... PostHog) and you view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

Senior Mobile Engineer

Denver, CO · On-site

$150K - $250K/yr

... PostHog) and you view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

Senior Mobile Engineer

Denver, CO · On-site

$150K - $250K/yr

... PostHog) and you view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

Mobile Engineer

Denver, CO · On-site

$90K - $200K/yr

... use PostHog) and view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

... use PostHog) and view a live, populated dashboard as the reward for what you've built, not a follow-up ticket. You are enthusiastic about in-person work and collaborating with your colleagues in ...

... PostHog) and view a live, populated dashboard as the reward for what you've built, not a follow‑up ticket. You are enthusiastic about in‑person work and collaborating with your colleagues in ...

Posthog information

What is the difference between Posthog vs Data Analyst?

AspectPosthogData Analyst
Primary RoleProduct analytics and user behavior trackingData interpretation and reporting for business insights
Required SkillsAnalytics tools, SQL, JavaScript, data trackingStatistical analysis, data visualization, reporting
Work EnvironmentTech teams, product developmentBusiness units, marketing, finance
Common CertificationsNone specific, technical proficiency preferredData analysis certifications (e.g., Google Data Analytics)

Posthog focuses on product analytics and tracking user behavior within digital products, often used by technical teams. Data Analysts interpret data to generate business insights, working across various departments. While both roles involve data, Posthog is more technical and product-focused, whereas Data Analysts have a broader business analysis scope.

What are popular job titles related to Posthog jobs in Colorado?

For Posthog jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Posthog jobs in Colorado look for?

The top searched job categories for Posthog jobs in Colorado are:

Infographic showing various Posthog job openings in Colorado as of September 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution.

Data Analyst

Denver, CO • On-site

Zero Homes
Residential Building Construction • 1 - 10 employees

Other

Posted 11 days ago


Job description

About Zero Homes

Our mission is to rebuild American communities through healthy, affordable homes.

At Zero Homes, we operate on a simple premise: when you make contractors successful, homeowners win. The current home services industry is fragmented, complex, and opaque, which is frustrating for homeowners and exhausting for contractors. We are changing this by building a home upgrade marketplace that enables a simple, central, transparent process for homeowners and contractors to complete projects.

Through our platform we handle design, quoting, procurement, and customer service, allowing our contractor network to focus on what they do best and make them money: delivering projects. For homeowners, this delivers a predictable, high-quality, and transparent experience, transforming home upgrades from a source of anxiety into a seamless experience. Our vision is to create a world where homeowners and contractors in all 50 states can leverage our platform to execute thousands of projects every week within the next 36 months.

We work by a clear set of values:

  • Be a "can kid," not a "can't kid": We own our outcomes and go to extraordinary lengths to solve problems.

  • Go fast, be clear: Speed is our advantage, and we sweat the details to deliver an extraordinary customer experience.

  • Customer & Contractor Obsessed: We have a deep, personal understanding of the work to be done. We stay curious about our contractors' craft and the stories of our homeowners.

  • Win, as a team: We are building an iconic business that will reinvent the industry, and will do so together.

If you are ready to build a world-class consumer experience that genuinely rebuilds American communities, come build with us.

About the Role & Your Impact

We're looking for a Data Analyst to build the foundation the rest of the company thinks on. Reporting to the Sr. Manager of Business Operations, you'll turn the data flowing through every part of Zero (sales, marketing, fulfillment, supply chain, and finance) into trusted, queryable, reusable datasets and the analysis that runs on top of them.

Today our data lives in a lot of places: HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is to fix that at the root, then use it: model the data properly, make it accessible, and do the analysis that turns it into decisions. You'll be the person the team trusts when the number matters.

What You'll Do

Data Foundations

  • Build and own our core datasets: model data across HubSpot, PostHog, our platform, and financial and operational sources into clean, documented tables everyone can rely on.

  • Own data quality end to end: instrument new processes so they're measurable from day one, and find and fix the breaks before someone else finds them in a board deck.

  • Document metrics, definitions, sources, and methods so numbers mean the same thing to everyone and analyses are reproducible.

  • Reduce the cost of every future question by leaving the data model better than you found it.

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