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Data Analyst Certification Jobs in Colorado (NOW HIRING)

Must have at least one of the following, equivalent, or higher certifications per DoD 8570/8140 ... Stay updated on emerging data analysis technologies and trends that would affect the customer ...

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Must have at least one of the following, equivalent, or higher certifications per DoD 8570/8140:

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Must have at least one of the following, equivalent, or higher certifications per DoD 8570/8140:

We are looking for a Mission Relevant Terrain - Cyber (MRT-C) Data Analyst in the Colorado Springs ... Must have at least one of the following, equivalent, or higher certifications per DoD 8570/8140:

Clinical EHR Data Analyst

Durango, CO · On-site

$24.87 - $49.85/hr

Provides data analysis, report development, and technical assistance. Supports program activities ... Certification, Licensure: RN Colorado License or Compact License Experience, Training, Knowledge:

Provides data analysis, report development, and technical assistance. Supports program activities ... Certification, Licensure: RN Colorado License or Compact License Experience, Training, Knowledge:

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Data Analyst Certification information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do data analyst certification jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst certification 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 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, statistical knowledge, and typically a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python or R, and data visualization software, along with certifications such as Google Data Analytics or Microsoft Certified: Data Analyst Associate, is highly beneficial. Excellent problem-solving, attention to detail, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills ensure accurate analysis, data-driven decision-making, and effective collaboration across business teams.

What types of projects do entry-level data analysts typically work on after earning a data analyst certification?

After earning a Data Analyst Certification, entry-level data analysts often work on projects such as cleaning and organizing raw data, creating dashboards and basic reports, and performing exploratory data analysis to uncover trends. They may collaborate closely with business teams to interpret data findings and support decision-making. These projects help new analysts build practical experience with industry-standard tools and methodologies, while also providing opportunities to contribute to real business outcomes.

What is a data analyst certification?

A Data Analyst Certification is a credential awarded to individuals who have demonstrated proficiency in data analysis concepts, tools, and techniques. These certifications typically require completing coursework, passing exams, or both, and they validate skills in areas such as data cleaning, statistical analysis, visualization, and the use of software like Excel, SQL, or Python. Obtaining a certification can help job seekers stand out in the job market and show employers they have the necessary knowledge to analyze data effectively. Popular certifications include those from Google, Microsoft, and SAS.

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

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

Infographic showing various Data Analyst Certification job openings in Colorado as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Data Analyst- Product Owner

VKore Solutions LLC

Denver, CO • On-site

Other

Posted 23 days ago


Job description

Job Description: 

Title

Data Analyst- Product Owner

location

Dallas/Denver

Type

Contract

Interview Mode: 

Either Phone or In Person.

  • Proven experience working in a large-scale enterprise environment, preferably within the
  • telecommunications industry.
  • Solid understanding of data governance principles, data quality frameworks, metadata
  • management, and data lineage.
  • Familiarity with various data technologies and platforms (e.g., data warehouses, data lakes,
  • ETL tools, cloud data services).
  • Experience with Al-powered automation tools, particularly in data pipeline development,
  • governance enforcement, and forecasting.
  • Excellent communication, interpersonal, and presentation skills.
  • Strong analytical and problem-solving abilities.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Certified Scrum Product Owner (CSPO) or equivalent certification is a plus.
  • Knowledge of Data Warehouse and Data Lake.

Data Analyst

  • Experience: 4-6 years
  • Develop Data Solutions: Analysed, Design and build applications and data pipelines using
  • AWS, Databricks, Redshift, and Snowflake.
  • ETL/ELT Development: Analyze standards and procedures for, and design data extraction,
  • transformation, and loading (ETL/ELT) processes for both batch and real-time data.
  • Database Management: Design DataLakes and Data Warehouses, and work with databases like Oracle and SQL Server.
  • SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
  • Full-Cycle Development: Handle the entire software development lifecycle for data warehouse applications, from requirements analysis to implementation, testing, and
  • debugging.
  • System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources.