Professional, Quantitative Analyst

Headquarters Office, 625 State Street, Schenectady, New York, United States of America ● Rochester Office, 220 Alexander Street, Rochester, New York, United States of America ● Tarrytown Office, 303 South Broadway, Tarrytown, New York, United States of America ● Virtual Req #683
Wednesday, December 23, 2020
Be a part of the transformation at MVP Health Care®. MVP Health Care is a nationally-recognized, regional not-for-profit health insurer. We care for more than 700,000 members across New York and Vermont and are powered by the ideas and energy of more than 1,700 employees. We employ talented people  with diverse backgrounds and experience—tech people, numbers people, even people people—to make health insurance more convenient, more supportive, and more personal. If you’re ready to join a thriving, mission-driven company where you can create your own opportunities—it’s time to make a healthy career move to MVP.

Job Summary:

As part of the Advanced Analytics team within the Data Science Department, the Quantitative Analyst will be responsible for developing and applying advanced statistical methods to collect, organize, interpret, and summarize data, with the goal of providing tools for strategic decisions and recommendations for change. Activities will include performing analyses on cost, utilization, quality and population health metrics; consulting with internal stakeholders on business needs; acquiring and assembling new data; developing new metrics and measures, and conducting research on methodologies, outcomes, performance, and policy.The Quantitative Analyst will also be responsible for designing and implementing quantitative and qualitative program evaluations to measure the impact of quality improvement interventions and support the development of analytical solutions. Specific duties include: using claims based data to perform statistical modeling and analysis of healthcare costs and outcomes; preparing, interpreting, and presenting information, including executive level reports/presentations to Senior Management; collaborating with Clinical, IT and other departments to advance quality objectives; assisting the Health Management team to design quality improvement initiatives and research studies; developing analytics to support value-based partners; and tracking and evaluating the effectiveness of quality improvement interventions.

Essential Job Functions:

  • Identify trends in data and significant relationships between outcomes and predictor variables.

  • Leverage advanced analytical knowledge to drive the development of analytical solutions and implement data-driven recommendations and outcomes.

  • Work closely with customers in determining analytic needs and present and interpret outcomes of statistical analyses to customers.

  • Work with complex healthcare claims and clinical data, recognize patterns and potential issues within the data and make recommendations based upon the analysis of the data.

  • Develop and interpret sophisticated data products (visualizations, models, insights, etc.) for business users.

  • Perform statistical analyses to determine effectiveness of clinical programs.

  • Perform data extraction, aggregation, and quality checking from multiple sources and tables in the support of trend identification, root cause analysis, program evaluation, population identification, quality improvement, and validation/measurement of medical expense reduction initiatives.


Minimum Education:

Bachelor’s Degree in Business, Math or related field required. Master’s degree strongly preferred with a quantitative (i.e. actuarial, statistics, economics, engineering, computer, science, applied math, etc.) or healthcare major (i.e. health administration, public health, medicine, etc.).

Minimum Experience:

2 to 5 years of experience working with healthcare data preferred.Minimum 2 years of experience developing database driven projects using T-SQL, SAS, SPSS, or R.Minimum 2 years of experience or educational training in statistical stratification, sampling, and cohort driven data modeling and analysis.

Required Skills:

  • Knowledge of when to use appropriate statistical methodologies.

  • SQL, SAS, SPSS, R, Python, Microsoft Excel/Access (advanced) or other programming language required; foundational understanding of relational database concepts and/or multi-dimensional models.

  • Knowledge of health plan-specific datasets (i.e. claims, eligibility, etc.) reporting /analytic uses (i.e. cost and utilization reporting, disease management, etc.) and terminology (i.e. PMPM, and per 1000 measures, diagnosis/procedure codes, episode groupers, risk adjustment, etc.) strongly preferred.

  • Ability to handle and manipulate large complex healthcare related datasets.

  • Demonstrated proficiency in the use of personal computers, spreadsheet applications, SQL database tools.

  • Superior problem solving, analytic skills and an ability to analyze large volumes of data and identify trends and anomalies.

  • Experienced in Microsoft Excel, Word and proficient in other MS Office tools such as PowerPoint and Power BI.

  • Ability to work independently, as well as work effectively as a member of a team.

  • Professionally skilled in personal presentation, verbal, and written communication.

  • Ability to prioritize multiple assignments with attention to details and deadlines in a high volume environment.

  • Proven ability to build relationships with business and technical partners to improve customer service and continuously improve project delivery.

  • Must be self-motivated, proactive, and able to work well under pressure.

  • Ability to handle multiple priorities.

Preferred Skills:

  • Experience with claims processing systems, specifically, the FACETS operating system

  • Experience with Power BI

  • Health insurance or industry related experience

  • Health care reimbursement methodologies knowledge

  • Medical Terminology knowledge

MVP Health Care is an Affirmative Action/Equal Opportunity Employer (PDF). We recruit, employ, train, compensate, and promote without regard to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, disability, genetic information, veteran status, or any other basis, e.g., Pay Transparency (PDF), protected by applicable federal, state or local law. Any person with a disability needing special accommodations to the application process, please contact Human Resources at

Other details

  • Job Family Informatics and Business Intelligence
  • Pay Type Salary
  • Headquarters Office, 625 State Street, Schenectady, New York, United States of America
  • Rochester Office, 220 Alexander Street, Rochester, New York, United States of America
  • Tarrytown Office, 303 South Broadway, Tarrytown, New York, United States of America
  • Virtual