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Data Engineer 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 ... Partner with Product Managers, Engineers, and Marketers to scope experiments, define success ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

NuView

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

Quantix

Data Analyst

Centennial, CO

Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data Analysts to join their team on a contract basis. These analysts ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

nLeague

Data Analyst

Denver, CO · On-site

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ET ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

Datavail

Data Engineer

Boulder, CO · On-site

$112K - $134K/yr

Data Engineer Location: USA Exp: 5+ 7 + years of IT experience Databricks (data engineering, SQL ... Datavail's Data Management and Analytics practice is made up of experts who provide a variety of ...

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Ziff Davis

Data Engineer

Denver, CO

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

New

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Sand Cherry Associates

Data Analyst

Denver, CO

Education Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field required; Master's degree preferred. Compensation Sand Cherry ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

New

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

Education · Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field required; Master's degree preferred. Compensation Sand Cherry ...

CoorsTek

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

Identify high-value opportunities for data, analytics, AI, or workflow enablement by partnering with plant leaders, engineers, quality, supply chain, maintenance, finance, and business leaders.

Stio

Data Analyst

Denver, CO · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ... Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar)

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Colorado

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Colorado? For Data Engineer Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Colorado look for? The top searched job categories for Data Engineer Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Data Analyst jobs? Cities in Colorado with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Data Analyst

INSPYR Solutions

Almont, CO • On-site

$70 - $73/hr

Other

Medical, Retirement

Posted 25 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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