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Analysis Manager Jobs in Nevada (NOW HIRING)

State of Nevada (NV)

MANAGEMENT ANALYST 2

Carson City, NV · On-site

$64K - $95K/yr

... legislative analysis, management research, and statistical and informational analysis. Essential Qualifications Two or more years of applicable experience as described in the job duties and ...

State of Nevada (NV)

MANAGEMENT ANALYST 2

Carson City, NV · On-site

$64K - $95K/yr

... analysis, management research, and statistical and informational analysis. Location in either Carson City or Las Vegas Lead Plan Development and Whole Community Integration Develop, review, and ...

Amh

Manager, Business and Technical Analysis

Las Vegas, NV · On-site

$105K - $131K/yr

The Manager, Business and Technical Analysis leads a team of Analysts to deliver actionable insights and effective solutions to support organizational objectives. This role translates complex ...

Burlington

Sr. Merchandising Analyst

Kingsbury, NV

$65K - $80K/yr

... management consulting, or merchandise planning is preferred * Experience with Statistical Analysis is preferred Skills and Abilities: * Excellent interpersonal, communication and organization skills.

Kamran Culinex LLC

FP&A Analyst

Las Vegas, NV · On-site

$75K - $120K/yr

KAMRAN & COMPANY FP&A Analyst Department: Finance | Reports To: CFO | FLSA Status: Exempt This is a ... Key Responsibilities WIP Management & Project Financial Oversight * Own the WIP schedule. Maintain ...

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Analysis Manager information

See Nevada salary details

$24.9K

$60.6K

$118.1K

How much do analysis manager jobs pay per year?

As of Jul 28, 2026, the average yearly pay for analysis manager in Nevada is $60,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $69,800.00 per year, depending on experience, location, and employer.

What does an analysis manager do?

An analysis manager oversees the collection, interpretation, and presentation of data to support business decision-making. They develop analytical strategies, manage teams of analysts, and often use tools like Excel, SQL, or data visualization software to deliver insights. Strong problem-solving and communication skills are essential for this role.

What are the key skills and qualifications needed to thrive as an Analysis Manager, and why are they important?

To thrive as an Analysis Manager, you need strong analytical abilities, data interpretation skills, and a background in statistics or a related field, often supported by a bachelor’s or master’s degree. Proficiency with data analysis tools such as SQL, Excel, Tableau, or Python, along with experience in business intelligence platforms, is typically required. Outstanding communication, leadership, and problem-solving skills help you lead teams and translate complex findings into actionable business insights. These competencies are essential for driving data-informed decision-making and optimizing organizational performance.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may have lower pay, while experienced analysts with skills in tools like Excel, SQL, or Python can command higher salaries. Overall, data analysis is considered a well-paying field with growth potential.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median annual salary of around $100,000 to $130,000, depending on experience, industry, and location. Senior roles or those with specialized skills in data analysis tools and leadership may earn higher compensation, often exceeding $150,000 annually.

What are some typical challenges an Analysis Manager might face when leading a team of analysts?

Analysis Managers often encounter challenges such as balancing the diverse skill sets within their team, aligning analytical outputs with business objectives, and managing tight deadlines for multiple projects. They must also ensure clear communication between their team and other departments, translating technical findings into actionable insights for stakeholders. Staying updated with evolving analytical tools and methodologies is crucial to maintaining the team's effectiveness and fostering continuous professional development.

What is the difference between Analysis Manager vs Data Analyst?

AspectAnalysis ManagerData Analyst
Required CredentialsBachelor's or master's in business, finance, or related fields; often some management experienceBachelor's degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft BI are common
Work EnvironmentLeads teams, manages projects, and collaborates with senior managementAnalyzes data, creates reports, and supports decision-making at operational levels
Employer & Industry UsageUsed across finance, consulting, and corporate sectors for overseeing analysis teamsCommon in marketing, finance, healthcare, and tech industries for data-driven insights

The Analysis Manager typically oversees analysis teams, manages projects, and requires leadership skills, while Data Analysts focus on data collection, analysis, and reporting. Both roles require strong analytical skills, but the Analysis Manager has additional managerial responsibilities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills such as data analysis, programming, and statistical knowledge, which can be acquired through training or certification regardless of age. Many professionals successfully transition into data analysis later in their careers by developing relevant skills and gaining experience with tools like Excel, SQL, and Python.
What are the most commonly searched types of Analysis jobs in Nevada? The most popular types of Analysis jobs in Nevada are:
Analysis Manager jobs near you
Infographic showing various Analysis Manager job openings in Nevada as of June 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $60,615 per year, or $29.1 per hour.
Fraud Analytics Manager

Fraud Analytics Manager

Credit One Bank

Las Vegas, NV

Full-time

Posted yesterday

Job 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.

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