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Behavioral Data Analyst Jobs in Colorado (NOW HIRING)

INSPYR Solutions

Data Analyst

Almont, CO · On-site

$70 - $73/hr

S. Data Analyst The ideal candidate combines strong statistical fundamentals with hands-on ... Write and optimize SQL to extract, transform, and validate experiment and behavioral data from ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and ... Contribute to data models that support ongoing and ad hoc analysis Reporting & Dashboard ...

HAYS

Sr Data Analyst

Denver, CO · On-site

$70 - $80/hr

Sr Data Analyst - Contract - Greenwood Village, CO - $70.00 - $80.00/hr. The final salary or hourly ... behavior to enhance the model Design Tableau visualizations to communicate and distill data to ...

HAYS

Mid Level Data Analyst

Denver, CO · On-site

$60 - $68/hr

Mid-Level Data Analyst - Contract - Greenwood Village, CO - $60.00 - $68.00/hr. The final salary or ... behavior to enhance the model Design Tableau visualizations to communicate and distill data to ...

Eliassen Group

Product/Data Analyst

Greenwood Village, CO · On-site

$50 - $60/hr

The analyst will drive clarity in ambiguous domains, surface hidden needs, and guide stakeholders ... Enable real-time visibility into product health and user behavior. * Partner with engineering, data ...

Sample Supports

Behavior Program Manager

Denver, CO · On-site

Ability to analyze behavioral data and make informed recommendations * Excellent organizational skills and attention to detail * Valid driver's license and reliable transportation * Willingness to ...

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All JobsBehavioral Data Analyst JobsBehavioral Data Analyst Jobs in Colorado

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 Jul 28, 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 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 in the Behavioral Data Analyst position, and why are they important?

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.

What does a behavioral analyst do?

A behavioral analyst studies and interprets data on human behavior to identify patterns and develop strategies for behavior change. They often work with data collection tools, statistical software, and behavioral theories to inform interventions, typically in clinical, educational, or organizational settings.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a behavioral data analyst, as the role values skills such as statistical analysis, data visualization, and proficiency with tools like SQL and Python. Many professionals transition into data analysis later in their careers, and relevant certifications or training can help demonstrate competence regardless of age.

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.

Is a data analyst a high paid job?

Data analysts, including those specializing in behavioral data, typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but experienced analysts with skills in tools like SQL, Python, or Tableau can command higher pay, making it a financially rewarding career for many professionals.

What do behavioral data analysts do?

Behavioral data analysts examine and interpret data related to human behaviors, preferences, and decision-making to identify patterns and insights. They use statistical tools and programming languages like SQL, Python, or R to analyze large datasets, often working with marketing, product development, or user experience teams to inform strategic decisions.
What are popular job titles related to Behavioral Data Analyst jobs in Colorado? For Behavioral Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Analyst jobs in Colorado look for? The top searched job categories for 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:
Behavioral Data Analyst jobs near you
Infographic showing various Behavioral Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.
Data Analyst

Data Analyst

INSPYR Solutions

Almont, CO • On-site

$70 - $73/hr

Other

Medical, Retirement

Posted 12 days ago

Job description

Title: Data Analyst
Location: Orlando, FL (Hybrid 4/1)
Duration: 12+ month contract
Compensation: $70.00 - $73.00/hr
Work Requirements: , Holders or Authorized to Work in the U.S.
Data Analyst
The ideal candidate combines strong statistical fundamentals with hands-on experience with statistics, machine learning and AI; and is comfortable owning experiments end-to-end (design, instrumentation review, analysis, readout), and can clearly communicate methodology and results to both technical and non-technical audiences.
Responsibilities
  • Design, implement, and analyze A/B tests and other experimental designs (e.g., multivariate tests, holdout groups, switchback experiments) across product and marketing initiatives.
  • Apply causal inference techniques — including difference-in-differences, propensity score matching, synthetic control, regression discontinuity, and instrumental variables — for scenarios where randomized experiments aren''t feasible.
  • Determine appropriate statistical tests (t-tests, chi-square, ANOVA, non-parametric alternatives, sequential testing, Bayesian methods) based on data characteristics and business context.
  • Calculate sample size and power requirements, and advise stakeholders on minimum detectable effect, test duration, and experiment feasibility before launch.
  • Build reusable Python-based analysis pipelines and tooling (e.g., using pandas, numpy, scipy, statsmodels) to standardize experiment analysis and reduce time-to-insight.
  • Write and optimize SQL to extract, transform, and validate experiment and behavioral data from large, complex datasets.
  • Partner with Product Managers, Engineers, and Marketers to scope experiments, define success metrics and guardrail metrics, and ensure proper randomization and instrumentation.
  • Proactively identify data quality issues, sample ratio mismatches, novelty effects, and other threats to experiment validity, and flag them before they affect decisions.
  • Communicate experiment design, methodology, and results clearly to stakeholders with varying levels of technical expertise, through written reports and presentations.
  • Build dashboards and visualizations (e.g., in Tableau, Looker, or Python plotting libraries) to track experiment health and results in near real time.
  • Contribute to the evolution of the company''s experimentation platform, standards, and playbooks.
Required Qualifications
  • Bachelor''s or Master''s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of hands-on experience in data analysis, with 3+ years specifically designing and analyzing A/B tests or experiments in an industry setting.
  • Strong proficiency in Python for statistical analysis and data manipulation (pandas, numpy, scipy, statsmodels, or similar).
  • Demonstrated expertise in statistical hypothesis testing (t-tests, chi-square, ANOVA) and in causal inference methods beyond simple A/B testing (e.g., diff-in-diff, matching methods, regression discontinuity, uplift modeling)
  • Practical understanding of experimental design concepts: randomization, power analysis, minimum detectable effect, novelty/primacy effects, network effects, and common pitfalls (e.g., peeking, multiple comparisons, Simpson''s paradox).
  • Ability to translate ambiguous business questions into rigorous, testable analyses and communicate the resulting trade-offs clearly.
  • Experience presenting technical findings to non-technical stakeholders, including executives, in a clear and compelling way.
  • Comfort working with large, sometimes messy, real-world data and identifying/troubleshooting data integrity issues.
Desired Qualifications
  • Experience with experimentation platforms (e.g., Adobe [preferred], Optimizely, Statsig, GrowthBook, or in-house tooling) and/or building internal experimentation frameworks.
  • Familiarity with Bayesian statistics and sequential/always-valid testing methods.
  • Experience with version control (Git) and writing production-quality, reusable analysis code.
  • Background in a consumer product, subscription, streaming, or e-commerce environment.
  • Familiarity with data visualization tools such as Tableau or Looker.
  • Exposure to experimental design in marketing (e.g., geo-testing, media mix modeling) in addition to product experimentation.
 
Our benefits package includes: 
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • …and much more!
 
About INSPYR Solutions
 
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients'' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
 
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
 
 
 

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