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Behavioral Data Analyst Jobs in Colorado (NOW HIRING)

Data Analyst

Denver, CO · On-site

$120K - $150K/yr

... behavior, and unit economics. * Get to root cause. When a number moves, you dig through the layers ... What You Bring * 3-6 years in data analytics, analytics engineering, or a similarly technical ...

Data Analyst

Denver, CO · On-site

$120K - $150K/yr

... behavior, and unit economics. * Get to root cause. When a number moves, you dig through the layers ... What You Bring * 3-6 years in data analytics, analytics engineering, or a similarly technical ...

... behavior, and unit economics. * Get to root cause. When a number moves, you dig through the layers ... What You Bring * 3-6 years in data analytics, analytics engineering, or a similarly technical ...

Analysis and Reporting * Answer real business questions with data -- well performance benchmarking, decline behavior as related to geologic variations, and offset operator activity. * Build ...

Crime and Data Analyst

Pueblo, CO · On-site

$60 - $80/hr

... science, behavioral science, computer science, or related field is required. (Any acceptable ... research analysis and statistics of criminal trend data is required. A certificate in crime ...

Collect and analyze behavioral data to guide clinical decision-making. * Supervise and provide feedback to Registered Behavior Technicians and support staff. * Collaborate with families, caregivers ...

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Showing results 1-20

Behavioral Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do behavioral data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for behavioral data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What does a behavioral data analyst do?

A Behavioral Data Analyst examines user behaviors, patterns, and interactions with products or systems using data analytics. They collect and analyze data from various sources, such as website interactions, app usage, and customer feedback, to understand decision-making processes. Their insights help improve product designs, marketing strategies, and user experiences. By leveraging statistical techniques and machine learning, they provide actionable recommendations to optimize business outcomes.

What does a typical day look like for a behavioral data analyst?

A typical day for a Behavioral Data Analyst involves collecting and cleaning behavioral datasets, performing statistical or predictive analyses, and interpreting patterns related to user or customer actions. You might collaborate closely with product managers, UX designers, marketers, or psychologists to translate analytical findings into business strategies or product improvements. The work often includes preparing reports, dashboards, or presentations to share insights with non-technical stakeholders. Additionally, you’ll frequently participate in team meetings to discuss project goals, methodologies, and how data-driven insights can solve specific organizational challenges.

What are the key skills and qualifications needed to thrive as a behavioral data analyst?

To thrive as a Behavioral Data Analyst, you need a strong analytical background, experience in behavioral science or psychology, and proficiency in statistics, typically supported by a relevant degree. Familiarity with data analysis tools such as R, Python, and SQL, as well as experience with data visualization platforms like Tableau, is highly valued, and certifications in data analytics can be advantageous. Strong communication, critical thinking, and problem-solving skills help you present findings clearly and work effectively with cross-functional teams. Combining technical expertise with interpersonal skills is essential for deriving actionable insights from complex behavioral data and driving informed decision-making.

How to become a behavior data analyst?

To become a behavioral data analyst, you typically need a bachelor's degree in fields like psychology, statistics, or data science. Developing skills in data analysis tools such as SQL, Python, or R, along with understanding behavioral theories, is essential; certifications in data analysis or statistics can also enhance job prospects.

Is behavior analyst a good career?

A behavior analyst is a professional who applies principles of behavior analysis to improve client outcomes, often working in healthcare, education, or clinical settings. The career offers strong job growth, competitive salaries, and requires certification such as the BCBA, along with skills in data collection and analysis. It is considered a rewarding and stable profession for those interested in behavioral science and helping others.

What is the role of a behavioral data analyst?

A behavioral data analyst examines data related to human behaviors and decision-making to identify patterns and insights. They use statistical tools and programming languages like Python or R to analyze large datasets, often working with marketing, user experience, or product teams to inform strategic decisions.

What are the most commonly searched types of Behavioral Data Analyst jobs in Colorado?

The most popular types of Behavioral Data Analyst jobs in Colorado are:

What cities in Colorado are hiring for Behavioral Data Analyst jobs?

Cities in Colorado with the most Behavioral Data Analyst job openings:

Infographic showing various Behavioral Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 5 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.

Analysis
  • Do the analysis, not just the plumbing: funnel conversion by market and channel, install throughput and cycle times, capacity utilization, cohort behavior, and unit economics.
  • Get to root cause. When a number moves, you dig through the layers (data, process, and people) until you understand and communicate why.
  • Support experiment and program measurement, partnering with Growth and Sales on what actually moved the outcome.
  • Deliver clear, decision-ready findings with quantified impact, not just charts.

Enablement & Tooling
  • Make the business self-serve: build the reporting and tooling that answers recurring questions without a human in the loop.
  • Build durable tooling rather than one-off spreadsheets, so the work compounds instead of expiring.
  • Help teams ask better questions of the data, and be the person they trust when the number matters.
  • Leverage AI tools to compress the time between question, query, and answer.

What You Bring
  • 3-6 years in data analytics, analytics engineering, or a similarly technical analytical role, ideally at a high-growth company.
  • Strong SQL. You write it daily, you can model data (not just query it), and you know why a number is wrong before someone tells you it is.
  • Real technical range: Python or R for analysis, comfort with version control, and the ability to build something durable rather than a one-off spreadsheet.
  • Business sense beyond the numbers: you understand how funnels, field operations, and customer experience actually work, and you pick the questions worth answering.
  • Strong communication skills: you can present findings to leadership, make a complex analysis feel simple, and land a recommendation.
  • Intellectual honesty: you report what the numbers say, including when they contradict the popular narrative or your own prior analysis.
  • You've AI-enabled yourself to move fast across whatever stack you land in.

Nice to Have
  • Experience in home services, energy, construction tech, marketplaces, or businesses with physical operations.
  • Experience building a data stack from an early stage (warehouse, transformation, BI) rather than inheriting one.
  • Experience with PostHog or other product analytics tooling.
  • Experience with job costing, project-based economics, or external partner reporting.

$120,000 - $150,000 a year
Equity
Medical, Dental, and Vision
4 Weeks PTO + unlimited sick days
Primarily an in-office role, with a flexible schedule
Workstation stipend
Pay offered may vary depending on multiple individualized factors, including job-related knowledge, skills and experience. This role also includes meaningful equity compensation so successful candidates can participate in our company's accelerating growth.
Zero Homes is committed to creating an inclusive and accessible experience for all candidates. We encourage you to apply even if you believe that you do not meet all of the above criteria!