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Data Intelligence Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... data intelligence solutions around Snowflake. • The data engineer will analyze the raw data and develop and maintain datasets on Snowflake based on business needs and objectives. • They would ...

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Datavail's data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business ...

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Datavail's data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business ...

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Datavail's data intelligence consultants are experienced, knowledgeable and certified in the best in breed BI and analytics software applications and technologies. We ascertain your business ...

What You'll Do As the Data & Intelligence Go-to-Market Lead for Denver, you will be responsible for building a high-performing go-to-market team and function while owning the growth strategy for ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready. We are looking for a highly motivated data engineer ...

Data Engineer

Denver, CO

$117K - $141K/yr

As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready. We are looking for a highly motivated data engineer ...

Work closely with the Data Intelligence Analyst to consume and interpret data across a range of performance, behavioral, and partner data sources - bringing that intelligence to bear on growth ...

Work closely with the Data Intelligence Analyst to consume and interpret data across a range of performance, behavioral, and partner data sources - bringing that intelligence to bear on growth ...

Work closely with the Data Intelligence Analyst to consume and interpret data across a range of performance, behavioral, and partner data sources - bringing that intelligence to bear on growth ...

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Showing results 1-20

Data Intelligence information

See Colorado salary details

$83.6K

$139.6K

$187.7K

How much do data intelligence jobs pay per year?

As of Jul 2, 2026, the average yearly pay for data intelligence in Colorado is $139,550.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $154,000.00 per year, depending on experience, location, and employer.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into this field later in life. Success depends on acquiring relevant skills such as data visualization, SQL, and statistical analysis, often through online courses or certifications. Employers value experience and analytical ability regardless of age.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a data analyst evolves with technology, emphasizing skills in data storytelling, domain knowledge, and tool proficiency like SQL and visualization software. AI complements rather than replaces the human element in data analysis roles.

What is a Data Intelligence job?

A Data Intelligence job involves collecting, analyzing, and interpreting data to support decision-making and business strategy. Professionals in this field use various tools and techniques, including data mining, machine learning, and visualization, to uncover insights and trends. They work closely with stakeholders to translate data into actionable recommendations, improving efficiency and innovation. Roles may vary from data analysts to data scientists, depending on the organization's needs and complexity.

What does data intelligence do?

Data intelligence involves analyzing large volumes of data to extract meaningful insights that support decision-making. Professionals in this field use tools like data visualization, statistical analysis, and machine learning to identify patterns, trends, and opportunities within data sets. They often work with data management platforms and require skills in programming, data analysis, and critical thinking.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Managers, Data Architects, and Chief Data Officers, with salaries often exceeding six figures. These positions require advanced skills in machine learning, data modeling, and leadership, and they usually involve overseeing large data teams and strategic initiatives.

What are the typical daily responsibilities of a Data Intelligence professional?

A Data Intelligence professional typically spends their workday collecting, processing, and analyzing large datasets to uncover trends and actionable insights. They often collaborate with cross-functional teams, such as business analysts, product managers, or IT professionals, to define data requirements and support ongoing projects. Additional responsibilities may include creating dashboards or reports, ensuring data accuracy and integrity, and communicating findings to both technical and non-technical stakeholders. Frequent problem-solving, adapting to shifting priorities, and keeping up with the latest analytical tools are also common aspects of the role.

What are the key skills and qualifications needed to thrive in the Data Intelligence position, and why are they important?

To thrive in Data Intelligence, you need strong analytical skills, a solid understanding of data science principles, and a background in fields such as statistics, computer science, or information systems. Familiarity with tools like SQL, Python, Tableau, and experience with data warehousing and business intelligence platforms are highly valuable, as are certifications such as Certified Analytics Professional (CAP) or related credentials. Excellent problem-solving abilities, effective communication, and a collaborative mindset help drive actionable insights from complex datasets. These skills are essential for translating raw data into meaningful intelligence that guides business strategy and decision-making.

Infographic showing various Data Intelligence job openings in Colorado as of June 2026, with employment types broken down into 3% As Needed, 80% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $139,550 per year, or $67.1 per hour.
Data Engineer

$117K - $141K/yr

Full-time

Posted 13 days ago


Job description

Job Title: Data Engineer
Duration: 8+ Months
Location: Onsite Denver CO (Only local Profiles)
Required Skills - SQL Developer, Snowflake
Nice to have skills - Python, DB scripting
Job Summary
• Data Engineer with 8 years of experience and good exposure in Python scripting & SQL
• The data engineer will be responsible for architecting and implementing very large-scale data intelligence solutions around Snowflake.
• The data engineer will analyze the raw data and develop and maintain datasets on Snowflake based on business needs and objectives.
• They would explore ways to enhance data quality and reliability and identify opportunities for data acquisition.
• They would also collaborate with data scientists and architects on several projects.
• They must have previous experience as a data engineer and should be an expert in both Python and SQL. Snowflake, Jenkins & Airflow experience is nice to have.
• The analyst will be working on the below ADS for products.
1. Modem Connectivity ADS a. Incorporate logic for Seasonal customers b. Incorporate logic for customer migration c. Incorporate logic for new customers d. Incorporate Remedy data into ADS
2. SamKnows ADS a. Build 12 ADS for SamKnows
3. SamKnows Latency ADS a. Make changes to Add Service Group
4. Wireline composite score ADS
5. Support for below ADSes a. Speed Reliability b. OOKLA Version 2 c. IPDR d. Deepfield e. SCOPE f. ESI