Jobgether

Jobgether

Fraud, Waste & Abuse Lead Analyst

US

Sponsorship not specified$104k-$143kDetected 9 hours ago
SQLMachine LearningData AnalysisData ScienceData VisualizationComplianceProject ManagementExcelSASLeadershipCommunicationCollaborationProblem SolvingPublic SpeakingMicrosoft Office

About the role

  • This position combines analytical expertise, project leadership, and stakeholder collaboration to transform complex data into actionable insights.
  • You will help shape best practices, improve analytics maturity, and influence strategic decisions through meaningful insights.
  • Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

Responsibilities

  • This position is listed on behalf of a partner company, who manages all applications and next steps.
  • Our partner is looking for a Fraud, Waste & Abuse Lead Analyst based in United States.
  • The role requires close partnership with business teams, data science professionals, and operational leaders to develop effective mitigation strategies.

Requirements

  • 8+ years of progressive experience in technical data analysis roles.
  • 2+ years of experience leading projects, initiatives, or cross-functional workstreams.
  • 2+ years of experience reviewing claims related to fraud, waste, and abuse.
  • Experience working with claims platforms and understanding claim processing operations.
  • Advanced proficiency with Microsoft Office applications, including Excel, Access, Word, and PowerPoint.
  • Strong analytical and problem-solving skills with the ability to interpret complex datasets.

Nice to have

  • Advanced proficiency with SQL, SAS, or other analytical and data management platforms is preferred.
  • Master's degree in Data Analytics, a quantitative discipline, or related field is preferred.
  • Professional certifications in analytics, project management, or related areas are a plus.

Skills

  • Analyze claims data, financial trends, and operational information to uncover patterns, risks, and opportunities for improvement.
  • Review claims associated with fraud, waste, and abuse and provide recommendations to address identified risks.
  • Serve as a trusted advisor to leadership by communicating trends, findings, and mitigation opportunities.
  • Establish analytics best practices and contribute to improving reporting quality, consistency, and departmental maturity.
  • Apply independent judgment to evaluate complex issues, assess available options, and recommend effective solutions.

Compensation

  • Competitive annual salary range of $104,000 - $143,000, depending on location, skills, experience, education, and qualifications.

Benefits

  • Eligibility for a bonus incentive plan based on individual and organizational performance.
  • Comprehensive medical, dental, and vision benefits.
  • 401(k) retirement savings plan.
  • Paid time off, company holidays, and personal holidays.
  • Paid parental and caregiver leave programs.
  • Short-term and long-term disability coverage.
  • Life insurance and additional employee wellness benefits.
  • Supportive work environment focused on professional growth, collaboration, and meaningful impact.
  • The Fraud, Waste & Abuse Lead Analyst will play a critical role in identifying, preventing, and reducing healthcare-related financial and operational risks through advanced analytics and data-driven strategies.
  • You will lead initiatives involving reporting, machine learning, AI-driven solutions, and risk trend analysis to strengthen fraud prevention capabilities.
  • Competitive annual salary range of $104,000 - $143,000, depending on location, skills, experience, education, and qualifications.

Company info

  • We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
  • The final decision and next steps (interviews, assessments) are managed by their internal team.
  • We appreciate your interest and wish you the best!
  • Why Apply Through Jobgether?
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This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.