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Entry Level Data Analyst Jobs in Colorado (NOW HIRING)

This entry-level role offers a path to management through hands-on experience with data analysis, reporting, supplier and vendor support, contract negotiation, and administration of requests for ...

This entry-level role offers a path to management through hands-on experience with data analysis, reporting, supplier and vendor support, contract negotiation, and administration of requests for ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Junior Java/C++ Developer - Remote

Denver, CO · On-site

$69K - $89K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Analyzing supporting documentation, transaction data, and case trends to distinguish error, misuse, and intentional misconduct. * Preparing case summaries, findings, and recommendations for ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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Entry Level Data Analyst information

See Colorado salary details

$13

$34

$64

How much do entry level data analyst jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for entry level data analyst in Colorado is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $38.65 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Colorado? The most popular types of Data Analyst jobs in Colorado are:
What are popular job titles related to Entry Level Data Analyst jobs in Colorado? For Entry Level Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Colorado look for? The top searched job categories for Entry Level Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Data Analyst jobs? Cities in Colorado with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Colorado as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,016 per year, or $34.6 per hour.
Consultative Offerings - Government & Public Services - Analyst - AI & Data Engineering

Consultative Offerings - Government & Public Services - Analyst - AI & Data Engineering

Deloitte

Denver, CO

Other

Posted 7 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

58th of 150 rated financial services


Job description

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 07/26/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

       This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Cumulative grade point average of 3.0 or higher
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • Cumulative grade point average of 3.4 or higher
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $98,000.

Qualifications:

Join Deloitte's Government & Public Services practice as an Analyst and help organizations address complex challenges that matter. In this role, you will work alongside teams supporting transformation initiatives, improving performance, and helping clients generate measurable value. You will have opportunities to build consulting skills through hands-on experience, collaboration, and exposure across client environments.

Recruiting for this role ends on 07/26/2026.

Work you'll do

As an Analyst in our Government & Public Services practice, you will be an integral member of a client service team, collaborating with diverse and talented team members to help solve multidimensional problems, improve performance, and generate value for our clients. You can capitalize on our cross-industry presence to find your niche and build your individual brand within the organization.

While a career in consulting is dynamic and evolving, we look for people who will perform in specific areas, grow those related skills, and deliver exceptional results to our clients. We recognize that candidates bring different skills, experiences, and interests, so we align Analysts to skills-based profiles that support development and client impact. Setting our people up for success is a priority, and we are currently recruiting AI and Data Engineering Analysts whose skills and interests align with the below description:

AI and Data Engineering Analyst

       This Analyst architects, designs, develops, and deploys enterprise solutions that span the full spectrum of Artificial Intelligence, including Chatbots, Virtual Assistants, Machine Learning, and Cognitive Services. This role combines deep expertise in advanced algorithms and scientific methods to build intelligent systems capable of interpreting data, making decisions, and uncovering actionable business insights. By merging expertise in AI, data engineering, and enterprise architecture, this Analyst empowers organizations to leverage data-driven intelligence and scalable solutions to meet evolving business and agency needs.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services practice serves government agencies, higher education institutions, nonprofit organizations, and other public sector organizations. Teams work across strategy, operations, technology, and transformation efforts to help clients improve mission outcomes and organizational performance. Professionals in the practice have opportunities to build specialized experience while working in a collaborative, growth-oriented environment.

Qualifications

Required:

  • Must be currently enrolled in an accredited college or university and expected to graduate by Summer 2027 or have completed a bachelor's degree or higher in Artificial Intelligence, Computer Science, Computational Engineering, Data Science, Machine Learning, Robotics, or an equivalent program
  • Cumulative grade point average of 3.0 or higher
  • You must reside within a commutable distance (e.g. 100-mile radius) of your assigned office with the ability to commute daily, if required
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Ability to obtain and maintain a U.S. Security Clearance
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Candidates must be at least 18 years of age at the time of employment

Preferred:

  • Cumulative grade point average of 3.4 or higher
  • Internship, project, or coursework experience in artificial intelligence, computer science, computational engineering, data science, machine learning, or robotics

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $98,000.

Education:Bachelor's DegreeEmployment Type:

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