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Entry Level Data Analyst Jobs in Colorado (NOW HIRING)

We are continuously looking for entry-level software programmers, Java Full stack developers ... We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS ...

Job Title: Entry Level Accountant This entry level accountant role focuses on inventory and cost ... Proficiency with Microsoft Office, particularly Excel, for data analysis and reporting. * Ability ...

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

Responsibilities: * Build strategic HR analytics tools (e.g., safety and health, turnover ... entry-level employees. The ability to relate to different types of people and understand their ...

Are you someone with strong analytics experience and a passion for helping others? Does the idea of ... entry-level employees. The ability to relate to different types of people and understand their ...

Responsibilities: * Build strategic HR analytics tools (e.g., safety and health, turnover ... entry-level employees. The ability to relate to different types of people and understand their ...

Responsibilities: * Build strategic HR analytics tools (e.g., safety and health, turnover ... entry-level employees. The ability to relate to different types of people and understand their ...

Responsibilities: * Build strategic HR analytics tools (e.g., safety and health, turnover ... entry-level employees. The ability to relate to different types of people and understand their ...

Utility UMS Analyst

Colorado Springs, CO · On-site

$61K - $80K/yr

Watch Our Story:' About the Role HDR is seeking an entrylevel Utility Data, Asset Management & Hydraulic Modeling Analyst to support water and wastewater utility projects through applied hydraulic ...

Description SAIC is seeking an entry level Part time on-call Data Technician for upcoming work in ... Reviews collected data to adjudicate any anomalies identified by the site lead/data analysis ...

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 ...

Tableau/Power BI developer - Junior

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 Scientists, and Machine Learning engineers for full-time ...

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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 6, 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 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 June 2026, with employment types broken down into 73% Full Time, 20% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $72,016 per year, or $34.6 per hour.
Data Analyst/Python Programmer - Remote

Data Analyst/Python Programmer - Remote

SynergisticIT

Denver, CO • On-site

Other

Posted 13 days ago


Job description

Entry-Level Python/Java Developer — Build Skills Hiring Teams Look For Knowing Java or Python is a great start, but entry-level hiring requires more than syntax. Employers want candidates who can solve problems, write maintainable code, use Git, connect to databases, understand APIs, debug errors, and explain technical decisions clearly. If you have been learning alone and feel stuck, a structured path can help.

SynergisticIT is seeking candidates interested in entry-level Python and Java developer roles. Relevant areas include object-oriented programming, backend development, REST APIs, SQL, Git, debugging, testing basics, cloud fundamentals, and application development. This opportunity is ideal for candidates who want to turn programming knowledge into a stronger employment profile.

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. 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 full time positions with clients.

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience · Please check below links: · Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ · · please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for Python and Java candidates because it focuses on job readiness.

Candidates can work on strengthening their technical foundation, building practical projects, preparing for interviews, and positioning their resumes toward roles that match employer expectations. Start building the developer profile employers want— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

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