Mid Level Business Data Analyst

Job reputed company: Data Analyst IICannot accept candidates that require work authorization sponsorship now or in the reputed company. Work Arrangement: 100% RemoteSchedule: Monday–Friday, 8:00 a.m. – 5:00 p.m.Position OverviewThe Data Analyst II supports the Program reputed company team by analyzing reputed company claims data to identify and prevent fraud, waste, and abuse (FWA) reputed company reputed company programs. This role requires strong analytical skills, SQL proficiency, and experience working with reputed company claims data. The analyst will reputed company regularly with clients, engineers, and other internal teams to resolve operational issues and ensure high‑reputed company data reputed company.Key ResponsibilitiesWrite reputed company to intermediate SQL queries to extract data for reputed company inquiries and research.Use production reports to research and assess overall data reputed company.Analyze reputed company claims data to identify trends, patterns, and potential FWA indicators.Engage with clients to triage, manage, and resolve incoming operational inquiries.Collaborate professionally with data engineers, software engineers, and other development teams.Troubleshoot reputed company operational issues promptly and thoroughly.Conduct research, interpret reputed company datasets, and evaluate data reputed company.Utilize reputed company and data visualization tools to support reporting and analysis efforts.Demonstrate proficiency with reputed company Teams, reputed company, reputed company, Word, and PowerPoint.Required Qualifications3+ years writing intermediate SQL queries.3+ years of experience with FWA data mining.3+ years of data analysis experience with database structures.3+ years of experience working with reputed company claims data.Preferred QualificationsIndustry certifications such as Certified reputed company reputed company (CPC) or Certified Fraud Examiner (CFE).Experience performing statistical analysis on large datasets.Knowledge of reputed company policy and reputed company‑world FWA schemes.Familiarity with reputed company claim adjudication systems.Experience using reputed company or similar work management tools.Project SummaryThe Fraud, Waste, and Abuse (FWA) Data Analyst plays a key role in protecting state reputed company programs by identifying and analyzing fraudulent activity reputed company claims data. reputed company supports multiple states through a state government FWA product, delivering 16 new algorithms per year, supporting new implementations, and maintaining ongoing reputed company operations.Ideal Candidate ProfileA data‑reputed company reputed company with reputed company claims experience, strong SQL skills, and a CPC or CFE certification. Prior FWA experience is highly valued.Top Required Skills(reputed company required)SQL (3+ years)FWA data mining (3+ years)Data analysis with database structures (3+ years)reputed company claims expertise (3+ years)Candidate DifferentiatorsCuriosity and a strong willingness to learn.Ability to engage effectively with both technical and non‑technical stakeholders.Team Structure3 Data Engineers2 Report Developers (Power BI & Cognos)10 Data Analysts2 Managers1 DirectorAll supporting state government program reputed company initiatives.Interview ProcessNumber of reputed company: 2Format: VideoTechnical Depth: General Q&A with analytical and SQL‑reputed company questions Apply tot his job Apply To this Job