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General Dynamics Information Technology
General Dynamics Information Technology
H1B vīzas sponsorsKonsultācijasLoģistikaVeselības aprūpe
General Dynamics Information Technology (GDIT) sniedz konsultāciju, digitālās modernizācijas un lietojumprogrammu pakalpojumus valdības un aizsardzības organizācijām. Uzņēmuma darbība aptver mākslīgo intelektu, mākoņdatošanu, kiberdrošību, augstas veiktspējas skaitļošanu un kvantu tehnoloģijas, kā arī kritiski svarīgas programmas loģistikas un piegādes ķēžu pārvaldības, izlūkošanas un iekšējās drošības jomā. Uzņēmums darbojas arī konsultāciju, veselības aprūpes un loģistikas nozarē, bet personāla piesaistē uzsver daudzveidīgas komandas un darbinieku labbūtību. GDIT amati var būt piemēroti speciālistiem, kurus interesē jauno tehnoloģiju izmantošana sarežģītu publiskā sektora un valsts drošības izaicinājumu risināšanā.
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Vakances uzņēmumā

Healthcare Claims Data Analyst

Build SQL and Python analytics to identify potential healthcare fraud, waste, and abuse across a large claims warehouse. This remote U.S. role supports the Healthcare Fraud Prevention Partnership at General Dynamics Information Technology.

USAmerikas Savienotās Valstis
76 500 $ – 103 500 $ / gads
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu analītiķis
MākonisPythonSQLTableau

Apraksts

  • Develop fraud, waste, and abuse analytics for the Healthcare Fraud Prevention Partnership, from initial concept through delivery.
  • Analyze a claims warehouse containing billions of records from public and private healthcare payers.
  • Turn partner and client requests into focused analytic questions.
  • Assess which questions the available data can answer and flag data limitations early.
  • Create analytic logic in SQL and Python to examine billions of claims.
  • Test and refine analytics with fraud, waste, and abuse subject matter experts.
  • Separate unusual claim patterns from those explained by clinical practice, coverage policy, or claim edits.
  • Record methodology, assumptions, and data lineage so analyses can be reproduced.
  • Document findings and present results to internal stakeholders.
  • Join partner discussions to clarify analytic needs.
  • Handle multiple requests and firm deadlines in a partner- and client-driven queue.
  • Collaborate with data scientists, business intelligence developers, and fraud, waste, and abuse subject matter experts.

Prasības

  • Bachelor’s degree in a quantitative or health-related field, or equivalent practical experience.
  • At least four years writing SQL for large relational datasets, including CTEs, window functions, and large-scale multi-table joins.
  • Understand query performance well enough to identify why a query is slow.
  • Use Python proficiently for data analysis and write clear, reproducible code.
  • Translate unclear requests into defined analytic questions.
  • Recognize when available data cannot answer a question.
  • Document analysis so another person can reproduce the work.
  • Learn an unfamiliar data domain quickly.
  • Explain analytical findings clearly in writing and conversation to people outside analytics.
  • Work accurately and stay organized while managing concurrent requests.
  • Be a U.S. citizen or permanent resident.
  • Be eligible to obtain and maintain Public Trust clearance.
  • Work visa sponsorship is not available.
  • Reside in the United States.
  • Preferred: experience with healthcare claims data and coding systems; fraud, waste, and abuse, program or payment integrity, or utilization review; Snowflake, SnowSQL, or a comparable cloud data warehouse; Git and collaborative code review; payer coverage policies and claim edits; Tableau or other data visualization tools.

Priekšrocības

  • Choice of medical plans, including options with Health Savings Accounts.
  • Dental plan options.
  • Vision coverage.
  • 401(k) with pre-tax and post-tax contribution options and a company match.
  • Flexible scheduling, with fully flexible work weeks where possible.
  • Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave.
  • Typically 15 days of paid leave per calendar year.
  • Ten paid holidays each year.
  • Up to 160 hours of paid family leave during a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage.
  • Life insurance.
  • Accidental death and dismemberment coverage.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • Collaborative, interdisciplinary workplace.
  • Fully remote work arrangement.

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