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Data Analytics Jobs in Cheyenne, WY (NOW HIRING)

TSMG

AI/ML Data Contributor

Cheyenne, WY · Remote

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Cheyenne, WY

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Cheyenne, WY · On-site

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

FocusKPI

Marketing Operations Analyst

Cheyenne, WY · On-site

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

Danaher

Digital Analyst Internships

Cheyenne, WY · On-site

$91K - $108K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Reli Group Inc

Power BI Intern

Cheyenne, WY · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Bespoke Labs

Data Engineer

Cheyenne, WY · On-site

$106K - $128K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Collabera Digital

Data Center QA/QC Analyst

Cheyenne, WY · On-site

$100K - $110K/yr

Title: Data Center QA/QC Analyst Location: Cheyenne, Wyoming Job Responsibilities: * Perform quality inspections and documentation reviews throughout construction activities. * Coordinate with ...

Apex Systems

Data Center Technician

Cheyenne, WY · On-site

... systems analysts test and debug new programs Operate spreadsheet programs and other types of ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

EOS

Data Center Lead Technician

Cheyenne, WY · On-site

We are seeking a highly skilled and hands-on Data Center Lead Technician to oversee and support ... Maintain and update documentation for incident resolution, root cause analysis, and repair ...

EOS

Data Center Lead Technician

Cheyenne, WY · On-site

We are seeking a highly skilled and hands-on Data Center Lead Technician to oversee and support ... Maintain and update documentation for incident resolution, root cause analysis, and repair ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Cheyenne, WY

Data Analytics information

See Cheyenne, WY salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analytics in Cheyenne, WY is $52.25, according to ZipRecruiter salary data. Most workers in this role earn between $41.97 and $59.18 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Cheyenne, WY?

The most popular types of Data Analytics jobs in Cheyenne, WY are:

What job categories do people searching Data Analytics jobs in Cheyenne, WY look for?

The top searched job categories for Data Analytics jobs in Cheyenne, WY are:

What cities near Cheyenne, WY are hiring for Data Analytics jobs?

Cities near Cheyenne, WY with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Cheyenne, WY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,674 per year, or $52.2 per hour.

AI/ML Data Contributor

TSMG

Cheyenne, WY • Remote

Full-time

Re-posted 23 days ago

Job description

Project Overview
We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing.

Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time.

Responsibilities
  • Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation
  • Participate in remote assignments or attend on-site sessions when required
  • Follow project guidelines and ensure high-quality task completion
  • Provide feedback and input during testing activities
  • Complete tasks within given timelines
Requirements
  • Must be based in the United States
  • Strong attention to detail and ability to follow instructions
  • Basic computer skills and familiarity with digital tools
  • Reliable internet connection and access to a computer or smartphone
  • Availability to participate in task-based work (schedule may vary)
Nice to Have
  • Previous experience in data annotation, QA, or testing
  • Interest in AI, machine learning, or emerging technologies
What We Offer
  • Paid, flexible task-based work
  • Opportunity to work on innovative AI/ML projects
  • Exposure to cutting-edge technologies (including device and VR testing)
  • Potential for ongoing project participation

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.