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Senior Consultant, Data Analytics – Network Evaluation
Location
United States
Posted
106 days ago
Salary
$130K - $180K / year
Seniority
Senior
Job Description
Senior Consultant, Data Analytics – Network Evaluation
Brown & Brown Insurance
• Analyze complex healthcare data sets to identify trends, patterns, and insights. • Create and present reports, dashboards, and visualizations to communicate findings to stakeholders. • Isolate healthcare trend drivers and financial impacts associated with client medical claims, pharmacy claims, and other types of healthcare data. • Perform varying types of analysis including medical carrier network valuations, discount analysis, and benchmarking. • Leverage real-world, statistical data and modeling to recommend, test, validate, and track supporting health economics, return on investment (ROI), and healthcare benefit models for client businesses beyond traditional methods. • Develop analytical analytics, data models, reporting, and data mining tools that scale across clients. • Codevelop and implement data collection strategies, design, and maintain databases. • Conduct complex analyses adhering to best practice standards by selecting appropriate data sources, developing assumptions, recognizing considerations, and establishing recommendations. • Collaborate with cross-functional teams to define data requirements and ensure data accuracy and integrity. • Identify opportunities for process improvement and efficiency through data analysis. • Stay up-to-date with industry trends and best practices in data analysis. • Resolve unreasonable results, suboptimal solutions, and data anomalies based on experience and professional judgment. • Act as a technical expert and advise on strategic data mining techniques used to identify new relationships or patterns in data. • Consult and provide expertise on new or enhanced product development opportunities including discussions on methodology, data requirements, coding implications, and the viability and profitability of a given proposal. • Build predictive models to accurately analyze potential outcomes that are likely costs / savings for a given initiative or event(s). • Develop and maintain effective cross-functional working relationships to assure accurate, timely teamwork and project execution with assigned teams. • Translate, document, and present approaches, processes, and results of complex modeling and statistical analysis into layperson terms for diverse, internal and external audiences. • Build and maintain client relationships. • Monitor market trends, engage in market research, and identify opportunities for initiatives. • Support the development and training of team members and colleagues. • Participate in peer review of your own work as well as your colleagues. • Document all developed work with version controlling and logic documentation.
Job Requirements
- Bachelor’s degree (BS) in Mathematics, Actuarial Science, Statistics, Economics, or Computer Science.
- 7+ years’ working experience as an Actuarial Analyst, Data Analyst, or Data Scientist in the HealthCare sector.
- 5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, RStudio, SQL, Python, SAS).
- 3+ years of hands-on experience building and conducting ETL tasks.
- Knowledgeable about applied statistics, experimental design, and machine learning techniques.
- Expert with data mining and visualization tools such as Qlik, Tableau, or Power BI.
- Experience with developing medical and pharmacy utilization reporting, establishing utilization trends, and identifying meaningful and actionable observations.
- Experience with Uniform Discount and Data Specification (UDS) submissions is a plus.
- Experience with underwriting insurance premiums is a plus.
- Ability to generate information quickly and manage multiple projects at once.
- Knowledge of conducting health statistical modeling for medical and pharmacy, ROI analyses, and indirect comparisons and also hands on expertise with respect to newer and non-traditional data science approaches.
- Diverse experience of healthcare databases and data sources (claims, encounters, labs, EMR etc.).
- Extensive knowledge of healthcare/medical economics data such as hospital/physician /ASC claims, utilization data, and healthcare industry coding systems ICD-10, CPT/HCPCS, Revenue Codes, MS/APR-DRGs and APC.
- Strong analytical skills with the ability to collect, organize, analyze, conceptualize, problem solve, and disseminate information confidently and collaboratively with attention to detail, accuracy, timeliness.
- Solid knowledge of business, financial, strategic concepts, and emerging trends.
- Solid interpersonal skills, oral and written, and a professional presence.
Benefits
- Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
- Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
- Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services
- Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.
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