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Data Analyst Data Science Jobs in Nevada (NOW HIRING)

Bachelor's degree in engineering, computer science, information technology, or a related field. * Three (3) to five (5) years of experience in data analysis within mining, chemical processing, or ...

Bachelor's degree in engineering, computer science, information technology, or a related field. * Three (3) to five (5) years of experience in data analysis within mining, chemical processing, or ...

Data Modeler

Las Vegas, NV · On-site

$52.25 - $67.75/hr

Las Vegas, 12 months Contract * 5+ years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. * Financial Domain knowledge is plus. * Should ...

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Data Analyst Data Science information

See Nevada salary details

$15

$42

$72

How much do data analyst data science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for data analyst data science in Nevada is $42.26, according to ZipRecruiter salary data. Most workers in this role earn between $30.48 and $51.20 per hour, depending on experience, location, and employer.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What cities in Nevada are hiring for Data Analyst Data Science jobs? Cities in Nevada with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Nevada as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,894 per year, or $42.3 per hour.
Operations Data Analyst

Operations Data Analyst

Credit One Bank

Las Vegas, NV

Full-time

Posted 29 days ago


Job description

Position Summary

Credit One Bank is looking for an Operations Data Analyst I to support the overall growth of the organization. The Operations Data Analyst I will focus on improving and maintaining customer service standards through the analysis of diverse business systems and processes. The individual in this position will work within the Operations Analytics team and will be responsible for collecting, consolidating, analyzing, and visualizing data from various sources, with the purpose of optimizing processes, improving operations systems, and providing the best card member experience. The ideal candidate is driven by analysis, efficiency, and quality, and will be ready to help guide the direction of a growing company.

Summary of Essential Job Functions
  • Prepare operational reports by collecting, interpreting, evaluating, and summarizing information and trends to develop integrated business analyses and projections for incorporation into strategic decision-making.
  • Recommend systems improvements to senior management based on analysis of current practices, outcomes, and trends. Participate in the implementation and monitoring of approved changes.
  • In collaboration with direct manager and peer analysts, conduct internal stakeholder research to support strategic and business planning.
  • Perform daily, weekly, and monthly reviews and analyses of current processes using department-defined operational metrics and reports.
  • Understand and communicate the financial and operational impact of changes to procedures or strategies.
  • Perform other duties as assigned.
Position Requirements
  • 1-2 years of experience in research or analytics environment, including programming, data mining, analysis, and reporting
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Demonstrated knowledge of data processing and analysis tools such as Python, SQL, SAS, and Tableau
  • Ability to work independently and with others
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity
Preferred
  • Bachelor’s Degree or equivalent work experience
  • Academic or professional experience using Python or SAS for data analysis and statistics, and Tableau for data visualization
  • Excellent written and verbal communication skills
  • Knowledge of credit card banking industry practices, regulations, and standards
  • Understanding of standard business and customer service practices

Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.