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Entry Level Data Analyst Jobs in Colorado (NOW HIRING)

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 ...

Help analyze system performance and identify opportunities for optimization. * Learn about modern ... Understanding of operating systems, data structures, algorithms, and networking fundamentals.

Help analyze system performance and identify opportunities for optimization. * Learn about modern ... Understanding of operating systems, data structures, algorithms, and networking fundamentals.

Help analyze system performance and identify opportunities for optimization. * Learn about modern ... Understanding of operating systems, data structures, algorithms, and networking fundamentals.

Our data powers accurate weather and climate forecasts and helps protect communities from severe ... Analyze and develop software prototypes and/or applications as part of a team * Participate in the ...

Our data powers accurate weather and climate forecasts and helps protect communities from severe ... Analyze and develop software prototypes and/or applications as part of a team * Participate in the ...

Entry-Level Software Engineer

Golden, CO · On-site

$70K - $120K/yr

Our data powers accurate weather and climate forecasts and helps protect communities from severe ... Analyze and develop software prototypes and/or applications as part of a team * Participate in the ...

Entry-Level Software Engineer

Golden, CO · On-site

$70K - $120K/yr

Our data powers accurate weather and climate forecasts and helps protect communities from severe ... Analyze and develop software prototypes and/or applications as part of a team * Participate in the ...

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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 Jun 12, 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 successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are more important than age. Many professionals start new careers later in life by gaining relevant certifications and building a portfolio of projects.

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.

Is it hard to get hired as a data analyst?

Entry level data analyst positions can be competitive, but having relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau or Power BI can improve your chances. Employers often look for a bachelor's degree in a related field and some experience with data analysis projects or certifications. Persistence and continuous skill development are important for securing an entry-level role.

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.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, but the role of a data analyst remains essential for interpreting complex data, making strategic decisions, and providing context. Entry level data analysts need to develop skills in data visualization, programming, and understanding AI capabilities to stay relevant in the evolving job market.

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 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 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 91% In-person, 2% Hybrid, and 7% Remote job distribution, with an average salary of $72,016 per year, or $34.6 per hour.
Entry-Level Spring Boot Developer

Entry-Level Spring Boot Developer

SynergisticIT

Thornton, CO

Other

Posted 5 days ago


Job description

Are you passionate about coding or technology and ready to make your mark in tech? For more than 15 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry. We focus on equipping you with the skills and experience needed to not only secure a job but to thrive in your career!
Why Partner with SynergisticIT?

  • Customized inputs to achieve the desired output :designed with industry needs in mind, ensuring you're equipped with the most sought-after skills.
  • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms.
  • Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more!

https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
Who Should Apply? We're looking for recent grads in Mathematics, Statistics , Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey!
Preferred SKILLS For Java /Full stack/Devops Positions
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, AWS, Docker, Jenkins, Github, Kubernates and REST API's experience
For data Science/Data Engineer, Data Analyst/AI/Machine learning Positions
Preferred SKILLS
Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude
Knowledge of Statistics, Databricks, Snowflake, Pyspark , PowerBI, Tableau, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools
Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates
Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card byproviding comprehensive support. All positions are open to candidates of all visa types and US citizens.
Are you ready to make an impact?