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Entry Level Data Analyst Jobs in Colorado (NOW HIRING)

Ookla

Data Engineer

Denver, CO · On-site

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Description Position at Ookla The Opportunity: We're looking for an entry level Data Engineer to ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Ookla

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Colorado

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 Aug 16, 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.

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.

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.
More about Entry Level Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Colorado?

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For Entry Level Data Analyst jobs in Colorado, the most frequently searched job titles are:

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $72,016 per year, or $34.6 per hour.

Data Engineer

Ookla

Denver, CO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

The Opportunity:

We’re looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services

  • Experience with high volume distributed data processing in Spark

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.