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Data Intelligence Jobs in Colorado (NOW HIRING)

Intelligence Analyst This effort is on-Site in Aurora, CO Employment type: Full Time w-2 or ... and data reporting - Monitor near real-time status of the system and applying near real-time ...

Intelligence Analyst

Aurora, CO · On-site

$112K - $179K/yr

... Intelligence Community of counterspace (kinetic and non-kinetic) threats and assessed ... Maintain data resources and system expertise to execute real world event procedures * Shape ...

... Intelligence Community of counterspace (kinetic and non-kinetic) threats and assessed ... Maintain data resources and system expertise to execute real world event procedures * Shape ...

Intelligence Analyst

Aurora, CO · On-site

$112K - $179K/yr

... Intelligence Community of counterspace (kinetic and non-kinetic) threats and assessed ... Maintain data resources and system expertise to execute real world event procedures * Shape ...

$175K - $220K/yr

Develop and maintain automated data pipelines to ingest, parse, and integrate non-standard defense data, intelligence feeds, and weapon system profiles. * Design, implement, and fine-tune large ...

Senior Business Intelligence (BI) Engineer We are seeking a Senior Business Intelligence (BI ... Champion data governance best practices including data lineage, cataloging, access controls, and ...

AI Engineer

Denver, CO · On-site

$100K - $137K/yr

Integrate AI solutions into enterprise systems using REST APIs, Azure services, and Databricks Data Intelligence Platform. * Deploy scalable, production-grade AI services on Azure Cloud and ...

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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 3, 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.
Senior Business Intelligence Data Analyst

Senior Business Intelligence Data Analyst

bet365

Denver, CO

Full-time

Posted 20 days ago


Bet365 rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies


Job description

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide.

Job Description

As a Senior Business Intelligence Data Analyst you will drive decision making across the Business through complex dataset analysis and developing insights to support the next-generation trading platform.

The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.

Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products. In this role you will support the wider team through guiding best practices and mentoring team members.

The salary range for this position is $100,000-$130,000 annually.

Qualifications
  • Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study.
  • Experience with Google Cloud, BigQuery, and Looker Core, including advanced LookML. development, data modeling, and the creation of governed, self-service analytics environments.
  • Advanced proficiency in Python and SQL languages is essential.
  • Proven experience delivering effective solutions through quantitative research, using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Demonstrated experience to in data analysis, interpretation, and presentation to guide decision making and problem solving.
  • Excellent communication skills with staff throughout the operation including key stakeholders and senior management.
  • Experience mentoring and guiding junior team members.

Additional Information
  • Collecting, processing, and analyzing large datasets using various tools and techniques.
  • Developing and maintaining dashboards and other data products.
  • Instilling accurate and effective reporting channels.
  • Presenting research and analysis in a clear and concise manner to a variety of stakeholders and levels.
  • Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.
  • Guide and mentor team members on analytical methodologies and best practices.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.


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