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Functional Data Analyst Jobs in Nevada (NOW HIRING)

... cross-functional testing team, where appropriate, in preparing system and integration test data ... Qualifications : Required : • 3+ years work experience with system analysis and design ...

... cross-functional testing team, where appropriate, in preparing system and integration test data ... Coordinate, analyze and schedule system change requests with users and supervisor. Ensure systems ...

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... supporting analytics, BI, and future AI/ML initiatives • Collaborate with cross-functional teams to translate business requirements into scalable data solutions • Monitor pipeline health ...

Financial Analyst

Reno, NV · On-site

$40 - $45/hr

... cross-functional partnership. This Contract position is based in Reno, Nevada, and will play an ... Work closely with operational stakeholders to translate financial data into practical ...

GRC Security Analyst

Reno, NV · On-site

$139K/yr

Enhancing relationships with cross-functional teams to develop and implement remediation plans for ... Advanced proficiency in utilizing spreadsheets for comprehensive data analysis, audit metric ...

Business Process Analyst

Las Vegas, NV · On-site

$58K - $78K/yr

This role involves working closely with cross-functional teams, identifying improvement ... Analytical Skills: Strong problem-solving skills with the ability to interpret data and draw ...

Showing results 41-60

Functional Data Analyst information

What are the key skills and qualifications needed to thrive as a functional data analyst?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a functional data analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What is a functional data analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.

What cities in Nevada are hiring for Functional Data Analyst jobs?

Cities in Nevada with the most Functional Data Analyst job openings:

Infographic showing various Functional Data Analyst job openings in Nevada as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

Fraud Strategy - Risk Analyst II - P2

Credit One Bank

Las Vegas, NV

Full-time

Posted 7 days ago


Job description

Position Summary

As a member of the Acquisition Fraud Strategy team within the Risk Management department, the Risk Analyst II will develop, implement, and evaluate fraud risk strategies that reduce losses, improve profitability, and increase efficiency, while maintaining a superior customer experience. An individual contributor role, you will work alongside peers to detect and prevent fraud loss associated with high-risk transactional activity.

Summary of Essential Job Functions
  • Develop, implement and evaluate fraud risk strategies
  • Analyze and present data in easy-to-understand visualizations and recommendations appropriate to the type of activity under review
  • Applies industry best practices and provides standards for solution, execution and delivery approach
  • Utilizes analytical and quantitative skills by using data and metrics to test theories, confirm assumptions, generate insights/recommendations and measure success
  • Ability to manage multiple projects under tight deadlines
  • Provides analytics and insights to organizational leaders in response to their business questions using data, tools, technologies and discovery solutions
  • Create and maintain strategy and procedural documentation
  • Utilize business acumen to transfer knowledge of emerging fraud trends to data analysis and subsequent real-time transactional rule creation
  • Employ strong analytical thinking and coding skills (Python, R, SQL, SAS Enterprise Guide, or similar data analysis tool) to investigate transaction details and build loss mitigating strategies
  • Interact and collaborate with various cross-functional business partners such as Operations, Compliance, Modeling, and Technology teams
  • Monitor the performance of fraud risk strategies to ensure an optimal balance between risk and customer experience
Position Requirements
  • Bachelor’s degree in Economics, Decision Sciences, Mathematics, Statistics, Computer Science or a related quantitative field.
  • 2-4 years of work experience in a similar role in a professional corporate environment.
  • Ability to transform big data into recommended actions to prevent fraud loss.
  • Proficiency in Python, R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, or a similar programming language is required.
  • Strong critical thinking, problem-solving, analytical and quantitative skills.
  • Ability to drive and influence business decisions based on metrics and data.
  • Demonstrated ability to simplify complex topics for broad audiences.
  • Knowledge of fraud and credit risk analysis, along with an understanding of profitability drivers, financial analysis and credit reporting.
  • Experience in identifying and preventing fraud risk and/or experience in developing and/or using fraud risk models, algorithms or scorecards.
  • Works well within a collaborative team environment.
  • Excellent verbal and written communications skills.
  • Collaborative team player with the ability to effectively manage competing priorities.
Preferred
  • Master’s Degree in related field
  • Experience with creating strategies within a fraud decision engine

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.