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.
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.
Fraud Analytics Manager
Las Vegas, NV · On-site
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy ... Leverage data and technology to drive consistent performance across globally distributed teams.
Quick apply
Fraud Analytics Manager
Las Vegas, NV · On-site
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy ... Leverage data and technology to drive consistent performance across globally distributed teams.
Fraud Analytics Manager
Las Vegas, NV · On-site
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.
Fraud Analytics Manager
Las Vegas, NV · On-site
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.
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy ... Leverage data and technology to drive consistent performance across globally distributed teams.
Position Summary Credit One Bank is seeking a Fraud Analytics Manager to lead vendor strategy ... Leverage data and technology to drive consistent performance across globally distributed teams.
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Quick apply
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Data Analytics Manager information
See Nevada salary details
$31.6K - $44.6K
7% of jobs
$44.6K - $57.7K
8% of jobs
$66.5K is the 25th percentile. Wages below this are outliers.
$57.7K - $70.7K
14% of jobs
$70.7K - $83.8K
18% of jobs
The median wage is $86.1K / yr.
$83.8K - $96.8K
15% of jobs
$96.8K - $109.9K
7% of jobs
$119.7K is the 75th percentile. Wages above this are outliers.
$109.9K - $122.9K
7% of jobs
$122.9K - $136K
6% of jobs
$136K - $149K
6% of jobs
$149K - $162.1K
4% of jobs
$162.1K - $175.1K
6% of jobs
$31.6K
$98.9K
$175.1K
How much do data analytics manager jobs pay per year?
Will AI replace a data analyst?
How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?
What does a data analyst manager do?
How much do data analytics managers make?
What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?
What does a Data Analytics Manager do?
What is the difference between Data Analytics Manager vs Data Analyst?
| Aspect | Data Analytics Manager | Data Analyst |
|---|---|---|
| Responsibilities | Oversees analytics projects, manages teams, develops strategies | Performs data collection, cleaning, and analysis to generate reports |
| Required Skills | Leadership, project management, advanced analytics | Data manipulation, statistical analysis, visualization |
| Qualifications | Bachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data Analyst | Bachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst |
| Work Environment | Corporate offices, analytics teams, cross-department collaboration | Data 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.
Is a data analyst a high salary?

Job description
Description
Position Summary- 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.
- 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.
- 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.
About Credit One Bank
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
501 - 1,000 Employees
Headquarters location
Las Vegas, NV, US
Year founded
1984