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Data Science Analyst Jobs in Nevada (NOW HIRING)

Familiarity with agent-based coding tools like Claude Code, OpenAI Codex, or GitHub Copilot Experience Completion of relevant coursework (e.g., computer science, data analysis, statistics, education ...

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ...

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Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ...

Be Seen First

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Data Analyst The data analyst will be responsible for importing, transforming, validating and ... Successful Candidate's Attributes: o Bachelor's degree in Computer Science, Information Technology ...

Showing results 41-60

Data Science Analyst information

See Nevada salary details

$34.6K

$84.2K

$138.5K

How much do data science analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science 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.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

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

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

What is the difference between Data Science Analyst vs Data Analyst?

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

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

The most popular types of Data Science Analyst jobs in Nevada are:

Infographic showing various Data Science Analyst job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $84,153 per year, or $40.5 per hour.

Lead Data Analytics

Las Vegas, NV • On-site

Alliance Sourcing Network
IT Services • 11 - 50 employees

Other

Posted 8 days ago


Job description

Not accepting resumes from third parties
Perm Opportunity (client does not sponsor now or in the future)
Onsite in Nevada (open to candidates who can relocate)

We re looking for a Lead Data Analytics professional to turn data into real-time insights that shape customer experiences, improve app performance, and drive smarter business decisions. This role is ideal for someone who thrives in a fast-moving environment, thinks critically under pressure, spots patterns quickly, and knows how to turn complex data into clear, actionable recommendations.

What You ll Do
  • Own and optimize key performance indicators (KPIs) from initial definition through ongoing measurement and improvement.
  • Build, maintain, and evolve dashboards and analytics that provide actionable insights to Developers, Product teams, and Leadership.
  • Analyze customer behavior, application performance, and experimentation results, including A/B tests, to identify what s working and what needs to change.
  • Identify trends, anomalies, risks, and opportunities quickly and translate findings into meaningful actions.
  • Turn complex datasets into clear, compelling stories that help stakeholders understand the why behind the numbers and make confident decisions.
  • Partner closely with Design, Product, Engineering, and Management in a collaborative, rapid-iteration environment.
  • Challenge assumptions and uncover new opportunities through data-driven problem solving.
Qualifying candidates will have:
  • Strong analytical instincts with the ability to think independently, solve ambiguous problems, and make sound decisions.
  • Comfort working with incomplete, evolving, or imperfect data in a fast-paced environment.
  • Demonstrated ability to influence business and product decisions, rather than simply report results.
  • Bachelor s degree in Statistics, Applied Mathematics, Data Science, or a related quantitative field.
  • Strong proficiency in SQL, Tableau or Power BI, Excel, and Python or R.
  • Hands-on experience with A/B testing, experimentation, and performance measurement.
  • Excellent communication skills, with the ability to explain complex analytical findings to both technical and non-technical audiences.