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Data Science Analyst Jobs in Nevada (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

POSITION IS ON SITE IN LAS VEGAS, NV As a Data Analyst, you will deliver reports and analyses that ... science, or closely related field required. * Working knowledge of tools such as SQL, Python, R ...

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

Develop advanced data products and APIs to enable analytics, reporting, and data science use cases * Monitor system performance, conduct testing, troubleshoot issues, and implement enhancements

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ...

Manager, Data Engineering

Las Vegas, NV · On-site

$110K - $132K/yr

Partner with business, analytics, architecture, application, and infrastructure teams to clarify ... Qualifications Required Qualifications Bachelor's degree in computer science, engineering ...

Manager, Data Engineering

Las Vegas, NV · On-site

$110K - $132K/yr

Partner with business, analytics, architecture, application, and infrastructure teams to clarify ... Qualifications Required Qualifications Bachelor's degree in computer science, engineering ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data ... Bachelor's degree required in Computer Science, Data Science, Engineering, Information Systems ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ... The VP of Data & Analytics will also ensure the same metrics and reporting is used across different ...

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 Aug 20, 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, 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 $84,153 per year, or $40.5 per hour.

Marketing Operations Analyst

FocusKPI

On-site

Full-time

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


Job description

FocusKPI is looking for a Marketing Operations Analyst  to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010