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Data Analytics Manager Jobs in Nevada (NOW HIRING)

Description Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor ... Leverage data and technology to drive consistent performance across globally distributed teams.

Sr. Engineer - Data Analytics

Las Vegas, NV · On-site

$109K - $131K/yr

Wynn Resorts seeks to create a system of data, analysis and actions to better attract guests and ... The Data Engineer will create and manage solutions which turn data into knowledge. Roles ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Responsibilities: o Perform data processing tasks and prepare data analytics reports meeting ... management staff. Successful Candidate's Attributes: o Bachelor's degree in Computer Science ...

Data Analyst

Las Vegas, NV · On-site

$25 - $35/hr

Responsibilities: o Perform data processing tasks and prepare data analytics reports meeting ... management staff. Successful Candidate's Attributes: o Bachelor's degree in Computer Science ...

Data Strategy-Manager

Las Vegas, NV · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

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Data Analytics Manager information

See Nevada salary details

$31.6K

$98.9K

$175.1K

How much do data analytics manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data analytics manager in Nevada is $98,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $127,800.00 per year, depending on experience, location, and employer.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Nevada? The most popular types of Data Analytics jobs in Nevada are:
What cities in Nevada are hiring for Data Analytics Manager jobs? Cities in Nevada with the most Data Analytics Manager job openings:
Fraud Analytics Manager

Full-time

Posted 20 days ago


Job description

Description

Position Summary
Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy, drive operational performance, and advance an AI-enabled fraud operations model. This leader will be accountable for delivering measurable improvements in customer experience, productivity, and risk outcomes through data-driven decisioning, AI/ GenAI adoption, and global vendor optimization.
The ideal candidate brings deep expertise in fraud and disputes management, a strong vendor management experience, and a proven ability to translate AI capabilities into operational impact. This role requires a balance of people leadership, analytical rigor, and transformation execution within a dynamic, regulated environment.
Essential Job Functions
  • Lead & Develop Talent
    • Build and coach high-performing fraud and disputes teams, aligning capability development with an AI-augmented workforce model.
    • Focus talent on high-value activities requiring judgment, investigative strategy, and complex decision-making, while leveraging automation for routine tasks.
  • Drive AI & Process Transformation
    • Identify and implement opportunities to deploy GenAI, AI, and machine learning to improve fraud detection, fraud and dispute case handling, and customer interactions.
    • Partner with analytics and technology teams to operationalize AI use cases into scalable workflows.
  • Fraud & Disputes Management
    • Lead day-to-day fraud and dispute intake, investigation, and resolution across all channels
    • Ensure adherence to SLAs, productivity targets, and quality standards
    • Manage capacity, forecasting, and staffing to meet fluctuating volumes
    • Oversee escalations and complex/high-risk fraud and dispute cases
  • Regulatory & Compliance Oversight
    • Ensure compliance with Reg E, Reg Z, network rules (Visa / MasterCard / American Express), and internal policies
    • Maintain audit readiness (internal, external, regulatory reviews)
    • Partner with Compliance, Legal, and Risk on control design and remediation
    • Drive documentation standards for investigations and decisioning
  • Vendor & Global Operations Leadership
    • Manage and optimize on and offshore vendor partnerships, ensuring alignment to performance, quality, and customer experience standards.
    • Leverage data and technology to drive consistent performance across globally distributed teams.
  • Performance & Operational Excellence
    • Own and deliver against key performance indicators (KPIs), ensuring consistent achievement of productivity, quality, and customer experience targets.
    • Utilize advanced reporting (e.g., Tableau, Snowflake) to monitor performance, identify trends, and drive continuous improvement.
  • Risk, Compliance & Quality
    • Ensure all operations meet regulatory, audit, and quality assurance standards.
    • Establish and maintain robust, audit-ready documentation aligned with industry best practices.
  • Cross-Functional Collaboration
    • Partner across Fraud Risk, Product, Technology, and Customer Experience teams to enhance processes and drive end-to-end outcomes.
    • Lead and influence change management initiatives supporting fraud and AI transformation programs.
  • Operational Governance
    • Oversee multiple lines of business and ensure standardized, scalable processes.
    • Develop and maintain agent- and site-level performance reporting frameworks to support decision-making.
  • Additional Responsibilities
    • Travel (domestic and international) to support vendor oversight and operational alignment.
    • Perform other duties as required.
Position Requirements
  • Experience
    • 5+ years of experience in fraud and disputes and/or customer operations (end-to-end). College degree preferred.
    • Hands-on experience deploying or working with AI/GenAI tools, automation, or data-driven workflows in an operational setting.
    • Proven track record managing global/vendor-based contact center operations.
    • Strong knowledge of Reg E, Reg Z and card network dispute rules (Visa, M/C, & American Express).
    • Proven ability to manage high-volume, deadline-driven operations.
    • Experience with audit/compliance environments
  • AI & Data Capabilities
    • Demonstrated ability to identify, prioritize, and implement AI-driven opportunities within operational environments.
    • Strong proficiency in data analysis, performance reporting, and insights generation (Tableau, Snowflake, or similar platforms)
  • Leadership & Execution
    • 3+ years proven success leading and developing teams within large, complex organizations.
    • Strong project and change management capabilities, with experience delivering transformation initiatives.
    • Ability to operate effectively in a fast-paced, evolving, and technology-driven environment.
  • Core Competencies
    • Execute Excellence: Drives disciplined, high-quality operational delivery
    • Risk & Control Mindset: Prioritizes compliance and customer fairness
    • Strategic Thinking: Connects operational insights to broader business goals
    • People Leadership: Builds strong, accountable, and engaged teams
    • Continuous Improvement: Challenges status quo and drives transformation
    • Exceptional communication and stakeholder management skills.
    • Strong business judgment and decision-making under uncertainty.
    • Deep commitment to customer experience and continuous improvement.
    • High level of adaptability, agility, and ownership.
Preferred
  • Fraud & Disputes Management
  • Experience implementing GenAI-assisted investigation tools, case summarization, or agent copilots.
  • Exposure to AI governance, model risk, or regulated AI deployment frameworks.
  • Demonstrated ability to bridge business and technical teams to deliver operational AI solutions.
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.