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Remote Data & Analytics Jobs in Colorado (NOW HIRING)

Data Analyst

Denver, CO ยท Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Data Analyst

Denver, CO ยท On-site +1

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Position Summary The SCADA Data & Reporting Analyst is responsible for developing and maintaining operational reporting solutions for the Remote Operations Control Center (ROCC). This position will ...

Data Analyst Senior

Denver, CO ยท On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO ยท On-site +1

$50K - $120K/yr

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... You will build and maintain custom data analytics to automate signals analysis, develop data ...

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Remote Data Analytics information

See Colorado salary details

$25

$57

$99

How much do remote data & analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote data & analytics in Colorado is $57.57, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $65.19 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

Is data & analytics a good career for remote work?

Data & analytics roles are well-suited for remote work because they primarily involve computer-based tasks such as data analysis, visualization, and reporting using tools like SQL, Python, or Tableau. Many companies offer remote positions for data analysts, data scientists, and business intelligence professionals, often requiring strong communication skills and familiarity with cloud-based platforms. Remote work in this field provides flexibility and access to a global job market, making it a viable option for many professionals.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

Is it possible to work remotely as a remote data & analytics?

Remote data and analytics roles are widely available, with many companies offering flexible work arrangements. These jobs often require proficiency in tools like SQL, Python, or Tableau and may involve collaboration via cloud-based platforms, making remote work feasible for qualified candidates.

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

The most popular types of Data & Analytics jobs in Colorado are:

What job categories do people searching Remote Data & Analytics jobs in Colorado look for?

The top searched job categories for Remote Data & Analytics jobs in Colorado are:

What cities in Colorado are hiring for Remote Data & Analytics jobs?

Cities in Colorado with the most Remote Data & Analytics job openings:

Infographic showing various Remote Data & Analytics job openings in Colorado as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,740 per year, or $57.6 per hour.

Data Entry Coordinator Junior (Remote)

Only Data Entry

Leadville, CO โ€ข Remote

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Entry Coordinator Junior (Remote)Leadville, CO, United States Job Openings Data Entry Coordinator Junior (Remote)About the Job Data Entry Coordinator Junior (Remote)Important: You Will Receive An Email Within Next 2 Minutes After Applying, Check Your Inbox or Spam Folder For Next Steps.Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.About Us:We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.Responsibilities:Accurately input, update, and maintain large volumes of data into our database systems.Verify and cross-reference data to ensure its accuracy and completeness.Conduct data quality checks and resolve discrepancies in a timely manner.Collaborate with other teams to gather and clarify data requirements.Maintain data confidentiality and adhere to data security protocols.Contribute to process improvement initiatives to enhance data entry efficiency.