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Data Analyst Jobs in Wheat Ridge, CO (NOW HIRING)

Bio-Techne

Senior Data Analyst

Denver, CO · On-site

$78K - $128K/yr

This role combines analytics, business intelligence, and data engineering capabilities to support decision-making across Marketing, Customer Service, Commercial, and Business teams. The position is ...

Strive Health

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

What You'll Do The Senior Data Analyst (Partner Analytics) will work across the organization to support new and ongoing initiatives. This person will be an early member of a highly experienced and ...

Virta Health

Data Analyst -- Product Analytics

Denver, CO · On-site

$96 - $125/hr

Role Overview As a Data Analyst supporting the Client Group, you'll own the data work behind accurate, reliable client billing. You'll start with a focused mandate: reconciling billing data across ...

Thinkfind

Data Analyst - Supply Chain

Centennial, CO · On-site

$90 - $120/hr

Thinkfind is seeking a Senior Analyst, Delivery Support Analytics to support healthcare consulting engagements by transforming complex supply cost, utilization, and clinical data into clear ...

SupportFinity™

FINANCIAL DATA ANALYST I

Boulder, CO · On-site

$55 - $75/hr

Responsibilities The Financial Data Analyst I supports the Finance Department by managing purchase requisitions, processing telecom invoices, and preparing regular month end dashboards and key ...

Eliassen Group

Product/Data Analyst

Greenwood Village, CO · Remote

$50 - $60/hr

Serve as the primary analytics partner for product teams to support data-driven product decisions. * Lead discovery sessions to understand business goals, product needs, and challenges. * Translate ...

Ask IT consulting

Business Data Analyst III

Denver, CO · On-site

Business Data Analyst III Location: Denver, CO Duration: 10+ Months Description This position provides data science and data management and integration expertise for the Department of Human Services ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

We are seeking a detail-oriented and intellectually curious Strategic Sourcing Data Analyst to be the intelligence engine of our Procurement Shared Services team. In this role, you will go beyond ...

Crusoe

Strategic Sourcing Data Analyst

Denver, CO · On-site

We are seeking a detail-oriented and intellectually curious Strategic Sourcing Data Analyst to be the intelligence engine of our Procurement Shared Services team. In this role, you will go beyond ...

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Showing results 41-60

All JobsData Analyst JobsData Analyst Jobs in Wheat Ridge, CO

Data Analyst information

See Wheat Ridge, CO salary details

$36.1K

$87.8K

$144.5K

How much do data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst in Wheat Ridge, CO is $87,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $103,100.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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For Data Analyst jobs in Wheat Ridge, CO, the most frequently searched job titles are:

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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Wheat Ridge, CO as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, 4% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,823 per year, or $42.2 per hour.

Senior Data Analyst

Bio-Techne

Denver, CO • On-site

$78K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Bio-Techne rating

8.4

Company rating: 8.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

By joining Bio-Techne, you'll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.
Pay Range:
$78,100.00 - $128,500.00
Position Summary
The Analytics Engineer serves as the bridge between business stakeholders and enterprise data platforms, transforming complex data into scalable solutions, trusted reporting, and actionable insights. This role combines analytics, business intelligence, and data engineering capabilities to support decision-making across Marketing, Customer Service, Commercial, and Business teams. The position is responsible for partnering with stakeholders to define KPIs, improve business processes, and drive measurable outcomes through data, then designing and maintaining those data pipelines, reporting frameworks, and analytics solutions.
Essential Functions
  • Partner with stakeholders to define KPIs, reporting requirements, and measurement frameworks that support business objectives.
  • Analyze customer, commercial, and marketing data to identify trends, opportunities, risks, and actionable recommendations.
  • Support analytics platform modernization initiatives, including migration, implementation, and optimization of enterprise data and reporting solutions.
  • Design and maintain dashboards, scorecards, and self-service reporting capabilities that enable data-driven decision-making.
  • Design, develop, and maintain scalable datasets, data models, and reporting solutions that support enterprise decision-making.
  • Build and optimize SQL-based data transformations and reporting layers to improve accessibility, accuracy, and performance of business data.
  • Develop automated workflows and analytics solutions using Python and other technologies to reduce manual effort and improve efficiency.
  • Support data pipeline management, monitoring, troubleshooting, and optimization to ensure reliable delivery of business-critical data.
  • Consolidate and integrate data from multiple enterprise systems into trusted, scalable analytics and reporting environments.
  • Establish and maintain data quality standards, governance processes, documentation, and validation frameworks.

Knowledge, Skills & Abilities
  • Strong analytical, problem-solving, and stakeholder management skills with the ability to communicate effectively across technical and non-technical audiences.
  • Experience defining, measuring, and reporting KPIs related to operational performance, customer experience, sales, or marketing.
  • Experience building dashboards, semantic models, self-service reporting solutions, and executive performance reporting.
  • Strong SQL and Python skills with experience developing scalable data transformations, automated workflows, and analytics solutions.
  • Experience with data modeling, ETL/ELT processes, data pipelines, system integrations, and cloud-based analytics platforms.
  • Ability to translate business requirements into scalable technical solutions and actionable insights.
  • Experience supporting analytics platform modernization, data migrations, and enterprise reporting initiatives.
  • Knowledge of data governance, data quality best practices, and documentation standards.

Why Join Bio-Techne:
  • We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
  • We invest in our employees' financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
  • We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
  • We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
  • We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
  • We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.

Bio-Techne is an E-Verify Employer in the United States.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.
This position requires work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status). If you require a reasonable accommodation to complete an application, participate in an interview, or take part in any other stage of the recruitment process, please contact hr@bio-techne.com for assistance.

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