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Entry Level Data Analysis Jobs in Colorado (NOW HIRING)

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.

Utility UMS Analyst

Colorado Springs, CO ยท On-site

$61K - $80K/yr

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

Utility UMS Analyst

Colorado Springs, CO ยท 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 ...

Utility UMS Analyst

Colorado Springs, CO ยท 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 ...

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 ...

Tableau/PowerBI Developer - Junior

Boulder, CO ยท On-site

$70K - $91K/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. Who Should Apply:

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers. Who Should Apply ...

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.

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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Showing results 1-20

Entry Level Data Analysis information

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Colorado? The most popular types of Data Analysis jobs in Colorado are:
What are popular job titles related to Entry Level Data Analysis jobs in Colorado? For Entry Level Data Analysis jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Entry Level Data Analysis jobs? Cities in Colorado with the most Entry Level Data Analysis job openings:
Infographic showing various Entry Level Data Analysis job openings in Colorado as of June 2026, with employment types broken down into 71% Full Time, 23% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Software Engineer - Entry Level

VDURA

Niwot, CO โ€ข On-site

Full-time

Posted 8 days ago


Job description

Description
Position Overview:
VDURA is a leader in high-performance parallel file systems and distributed storage solutions for AI and HPC environments. We are seeking an entry-level Software Engineer to join our engineering team in Colorado and help develop the next generation of the VDURA Data Platform.
This role is ideal for a recent graduate or early-career engineer who is passionate about systems software, distributed computing, AI infrastructure, and large-scale storage technologies. The successful candidate will work alongside experienced architects and senior engineers while contributing to real-world enterprise storage solutions used in demanding AI and HPC deployments.
The Software Engineer will gain hands-on experience with distributed systems development, performance optimization, automated testing, cloud technologies, and modern AI-assisted software development practices.
Key Responsibilities:
Software Development
  • Develop, test, debug, and maintain software components within the VDURA Data Platform.
  • Contribute to distributed storage services, management tools, datapath functionality, and automation infrastructure.
  • Write clean, maintainable, and well-tested code primarily in C, C++, Python, or related technologies.
  • Engineering Collaboration
  • Work closely with senior engineers, architects, QA, DevOps, and support teams on feature development and issue resolution.
  • Participate in code reviews, technical discussions, and team planning activities.
  • Learn and apply best practices for scalable software development and systems engineering.
  • Testing and Debugging
  • Assist with debugging complex software issues across distributed systems environments.
  • Contribute to automated test frameworks and continuous integration workflows.
  • Support system validation, performance testing, and reliability improvements.
  • Performance and Scalability
  • Help analyze system performance and identify opportunities for optimization.
  • Learn about modern storage and networking technologies including NVMe, RDMA, InfiniBand, and parallel file systems.
  • Participate in lab testing and large-scale system validation activities.
  • Innovation and Learning
  • Utilize AI-based software development tools to improve productivity, learning, debugging, and software quality.
  • Stay current with emerging technologies in AI infrastructure, cloud-native systems, distributed storage, and software engineering.
  • Continuously expand technical knowledge through mentorship and hands-on development experience.

Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
  • Strong programming skills in C, C++, Python, Java, or similar languages.
  • Understanding of operating systems, data structures, algorithms, and networking fundamentals.
  • Familiarity with Linux or UNIX-based development environments.
  • Strong analytical and problem-solving skills.
  • Experience with Git or other version control systems.
  • Interest in distributed systems, storage software, cloud computing, AI infrastructure, or systems-level programming.
  • Experience using AI-based software development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar technologies is desirable.
  • Strong communication skills and willingness to work collaboratively within a team environment.

Preferred Experience:
  • Internship, academic project, or open-source experience related to systems software or distributed systems.
  • Exposure to Linux system administration or scripting.
  • Familiarity with containers, Kubernetes, cloud platforms, or virtualization technologies.
  • Experience with automated testing or CI/CD workflows.
  • Interest in HPC, AI infrastructure, or large-scale storage systems.

Location:
This role is based in: Niwot, CO
This is primarily an on-site role to support close collaboration with engineering teams and access to VDURA lab environments.
About VDURA:
VDURA is transforming data storage and management for the AI era. Our software-defined storage platform delivers the performance, scalability, durability, and simplicity required for the world's most demanding AI and HPC environments. Our engineering teams work on cutting-edge distributed systems challenges spanning parallel file systems, AI infrastructure, cloud technologies, and next-generation storage architectures.