Senior Analyst

1 week ago


Phoenix, United States Hire with Mike Full time
Job DescriptionJob Description

Senior Analyst

Location:Remote

SUMMARY

We are in search of talented individuals who are interested in a career in analytics as a Senior Analyst in for the Data Science & Advanced Analytics division.


UNIQUE BENEFITS

  • A comfortable work-life balance, including half-day Fridays and flexible work schedules.
  • Three weeks of paid time off and 13 company-paid holidays where staff leave two hours early prior to each holiday just to get a jump start on holiday festivities.
  • Offers a competitive benefit package which includes medical, dental, vision, tuition reimbursement, 401(k) and an employee stock ownership plan.


DESCRIPTION

The Senior Analyst position is a key leader in cutting-edge analytic work that spans the broad spectrum of healthcare data projects. Driven by intellectual curiosity and a passion for healthcare quality, the Senior Analyst position develops, implements, and leads innovative analytic plans that are intended to provide healthcare decision and policy makers with the necessary information to transform healthcare. The analysts in the Data Science & Advanced Analytics division assist in designing a wide array of analytic studies and participate in all phases of the research design process under the direction of the Senior Analyst and other senior staff members. Senior Analysts will work with data to facilitate data exploration and fulfill client deliverables, including (but not limited to) the following data types:

  • survey
  • case review
  • medical and prescription drug claims and encounters
  • eligibility
  • demographic
  • clinical
  • electronic health record
  • registry
  • vital statistics
  • operational

Details regarding potential project assignments and key sources of data will be discussed with potential candidates during the interview process.

ESSENTIAL COMPETENCIES, DUTIES, AND RESPONSIBILITIES

  • Serve as an analytic leader within the Data Science & Advanced Analytics division.
  • Lead multiple medium-sized analytic tasks or projects simultaneously, while providing analytic support and leadership on other projects.
  • Understand primary types of healthcare data and methods for approaching data assessments.
  • Evaluate a wide array of data types.
  • Define appropriate research questions and develop corresponding analytic plans.
  • Lead and interpret analyses, develop appropriate statistical models, manipulate complex databases, and track and evaluate patterns of care and outcomes.
  • Oversee all data-related project activities.
  • Attend, participate, and lead team training meetings.
  • Present and communicate project results to nonanalytic staff members and customers.
  • Represent the company in a professional manner at all times.


EDUCATION AND/OR EXPERIENCE

  • Bachelors degree in a quantitative discipline (e.g., math, statistics, economics, and epidemiology). Masters degree preferred.
  • A minimum of six (6) years of work experience.
  • At least five (5) years of healthcare experience.
  • At least five (5) years of statistics and/or quantitative analysis experience.
  • At least one (1) year of experience supervising analytic staff.


OTHER QUALIFICATIONS

  • Expert in the use of SAS software for statistical programming. SAS certification preferred.
  • Proficient in the use of SQL.
  • Experience working with relational databases.
  • Experience developing and leading formal written deliverables for multiple clients, including serving as the lead writer/major contributor on multiple formal deliverables.
  • Experience serving as the primary writer on a proposal and as a major contributor to the overall proposal effort.
  • Experience mentoring multiple junior-level staff.
  • Demonstrated ability to supervise a team of at least two people, including responsibility for monitoring and evaluating performance.
  • Proficient in Microsoft Word and Excel.
  • Excellent verbal and written communication skills.
  • Ability to handle several projects simultaneously and work with multiple teams.





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