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Remote Data Analyst Jobs in Nevada (NOW HIRING)

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as ... Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

Revenue Analyst

Las Vegas, NV · On-site +1

$60K - $80K/yr

Time Type: Full time Remote Type: Job Family Group: Finance Summary: The primary purpose of the ... Provide Data, Reporting, & Analysis to assist revenue managers in making Pricing Strategy ...

Business Analyst

Las Vegas, NV · On-site +1

$25 - $30/hr

... data analysis, reporting, and operational initiatives across our portfolio. ** This position is based in Las Vegas and requires in-office work. Remote work and relocation assistance are not available.

Business Analyst

Las Vegas, NV · On-site +1

$25 - $30/hr

... data analysis, reporting, and operational initiatives across our portfolio. ** This position is based in Las Vegas and requires in-office work. Remote work and relocation assistance are not available.

Pricing Analyst III

Sparks, NV · On-site +1

$85K - $117K/yr

If you have a keen eye for the big picture, excellent technical data analysis skills, and enjoy ... Work in an office environment with the potential for hybrid or remote work settings. At Sierra ...

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The National Accounts ... Compile all pricing and deal data into a comprehensive library, while managing all the system and ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Tax Analyst |100% Remote (WFH) Opportunity General Summary The successful candidate will become a ... Gather, analyze, and synthesize data from diverse systems. Organize and reference schedules and ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Showing results 1-20

Remote Data Analyst information

See Nevada salary details

$34.6K

$84.2K

$138.5K

How much do remote data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data analyst in Nevada is $84,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,800.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Nevada? The most popular types of Data Analyst jobs in Nevada are:
What job categories do people searching Remote Data Analyst jobs in Nevada look for? The top searched job categories for Remote Data Analyst jobs in Nevada are:
What cities in Nevada are hiring for Remote Data Analyst jobs? Cities in Nevada with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Nevada as of July 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,153 per year, or $40.5 per hour.
Senior Healthcare Analyst

Senior Healthcare Analyst

UnitedHealth Group

Las Vegas, NV • Remote

$82K - $103K/yr

Full-time

Retirement

Posted 7 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 884 rated healthcare providers


Job description

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as you take on some tough challenges.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Join us and put your data analytics knowledge and skills to work in support of Operational Finance.

The Healthcare Senior Analyst will develop and maintain Power BI dashboards to provide critical insights into operational and financial performance. They will help support building and maintaining complex data models and their proficiency in working with large data sets will be crucial. By conducting in-depth data analysis and creating ad hoc reports, they will support strategic decision-making and enhance the team's ability to achieve key performance goals.

This position is full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm. It may be necessary, given the business need, to work occasional overtime. 

We offer weeks of paid training. The hours of training will be based on your schedule or will be discussed on your first day of employment.

Primary Responsibilities:

Data Engineering & SQL Development

  • Design, develop, and maintain complex SQL solutions to support reporting, analytics, and business decision-making.
  • Write highly efficient and scalable SQL queries against large datasets containing millions of records.
  • Demonstrate advanced proficiency with SQL concepts, including: 
    • Window functions
    • Common Table Expressions (CTEs)
    • Temporary tables
    • Query optimization techniques
    • Complex joins and data transformations
    • Layering and structuring business logic across multiple query steps
  • Analyze and troubleshoot data quality, performance, and reporting issues.
  • Develop repeatable and maintainable data solutions that are easy to understand and support.

Data Modeling & Analytics

  • Design and maintain data models that accurately represent business processes and reporting requirements.
  • Possess a strong understanding of dimensional modeling concepts, including fact tables, dimension tables, and their relationships.
  • Partner with stakeholders to translate business requirements into scalable data solutions.
  • Ensure consistency and accuracy across reporting and analytical datasets.

Power BI Development

  • Develop and maintain enterprise-level Power BI dashboards and reports.
  • Create optimized Power BI data models capable of supporting large datasets while maintaining strong report performance.
  • Leverage best practices around relationships, DAX, data model design, and dataset optimization.
  • Design intuitive and visually compelling dashboards that effectively communicate key business insights.
  • Balance technical performance with user experience and dashboard usability.

Automation & Python Support

  • Utilize Python to support data processing, automation, and analytical workflows when appropriate.
  • Understand fundamental Python concepts, including: 
    • Script execution
    • Functions and modules
    • Reading and writing data files
    • Reusing and integrating code across multiple scripts
  • Collaborate with other technical team members to support automation initiatives and process improvements.

Leadership & Technical Ownership

  • Serve as a subject matter expert for data architecture, SQL development, and reporting solutions.
  • Mentor team members and promote best practices in analytics, reporting, and data management.
  • Independently solve complex technical problems with minimal supervision.
  • Drive continuous improvement in data processes, reporting capabilities, and overall analytical maturity.

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Finance, Mathematics, Statistics, or a related field, or equivalent practical experience
  • 5 years of experience in data analytics, business intelligence, data engineering, or a related technical role
  • Advanced SQL expertise with experience building complex queries and data solutions
  • Deep understanding of: 
    • Window functions
    • CTEs
    • Temporary tables
    • Query performance tuning
    • Multi-step data transformations
    • Relational databases
  • Understanding of data warehousing concepts and dimensional modeling, including fact and dimension tables
  • Advanced Power BI experience, including: 
    • Data modeling
    • DAX
    • Report optimization
    • Dashboard development
    • Large dataset performance management
  • Ability to work independently and translate ambiguous business requirements into actionable technical solutions
  • Problem-solving, analytical, and communication skills
  • Ability to work full-time. Employees are required to have flexibility to work any of our shift schedules during our normal business hours of 8am - 5pm. It may be necessary, given the business need, to work occasional overtime

   

Preferred Qualifications:

  • Experience working with datasets containing tens of millions of records
  • Experience with Python for automation, data processing, or analytical workflows
  • Experience designing scalable reporting and data architecture solutions
  • Experience mentoring analysts or serving as a technical lead
  • Knowledge of data governance, ETL processes, and enterprise reporting best practices

   

Telecommuting Requirements:

  • Reside within Pacific Time Zone
  • Ability to keep all company sensitive documents secure (if applicable)
  • Required to have a dedicated work area established that is separated from other living areas and provides information privacy
  • Must live in a location that can receive a UnitedHealth Group approved high-speed internet connection or leverage an existing high-speed internet service

   

What Success Looks Like

  • Can independently design and implement complex SQL solutions without guidance
  • Understands data models intuitively and quickly identifies how data should be structured for reporting
  • Builds Power BI solutions that remain performant even with very large datasets
  • Creates dashboards that are both technically efficient and visually effective
  • Uses Python as a practical tool to automate and simplify work when appropriate
  • Functions as the team's go-to expert for data, reporting, and analytics challenges

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 - $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

   

   

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

   

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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