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Sr. Healthcare Data Analyst

3 months ago

Chicago, United States Medical Home Network Full time

Are you ready to join a passionate community of people who are changing how health care is delivered? A place where you will find a career you love while truly making a difference building healthier communities. If this sounds like you, we would love to have you apply as Senior Healthcare Data Analyst with Medical Home Network (MHN)


MHN is a not-for-profit collaborative that has fundamentally changed how care is delivered. Our proven model of care unites provider communities and diverse healthcare entities around a common goal: to redesign healthcare delivery and transform the way care is managed.


THE PERKS

  • Fun, challenging, and collaborative work environment with passionate colleagues that care deeply about healthcare delivery.
  • Recognized as One of the Best Places to Work in Healthcare by Modern Healthcare.
  • Competitive benefits program including Medical, Vision, Dental, HSA, FSA, and 401k.
  • Fitness reimbursement, commuter benefits, and tuition assistance.
  • Great work life benefits- Paid time off, sick time, and 12 paid holidays.
  • Hybrid schedule, 2 days on site 3 days remote.
  • We are able to consider fully remote in the following states: AK, AL, CA, FL, IL, IN, MI, MO, NC, NM, NV, NY, OK, TX, WI


THE OPPORTUNITY:

Reporting to the Associate Director of Analytics, the Senior Healthcare Data Analyst will be involved in the programming, data mining and analysis of healthcare data with an emphasis on medical economics, clinical and financial reporting.


The ideal candidate will have a strong background in healthcare data analysis and advanced proficiency in SAS to support data driven decision making to improve the health outcomes of the patients and populations we support.


WHAT YOU CAN LOOK FORWARD TO:

  • Translate complex health care data into actionable insights to drive healthcare quality and efficiency.
  • Perform data manipulations and statistical analysis to identify trends, patterns, and insights.
  • Develop and maintain dashboards, reports and visualizations to communicate finding to stakeholders.
  • Conduct analysis to support Shared Savings and other key improvement programs.
  • Assist with the design, development, and maintenance of the Analytic DataMart including quality checks, identifying data issues, and working with partners to create solutions.
  • Work with clinical and IT teams to operationalize analytic and reporting innovations.
  • Complete a variety of clinical and financial client ad hoc analyses in an efficient and timely manner.
  • Support the development and evaluation of value-based care models and strategies supporting safety net providers.


WHAT YOU’LL NEED TO SUCCEED:

  • Bachelor’s degree in data analytics, economics, statistics, public health, or a comparable program with a quantitative emphasis. Master’s degree preferred.
  • 4+ years professional SAS experience, including data step programming, PROC SQL, macros and statistical procedures.
  • Advanced knowledge of medical claims, pharmacy, eligibility, provider, and clinical data preferably in a in a managed care, Medicaid, Medicare, or health plan setting.
  • Strong understanding of health care quality measures, risk adjustment, and value base payment models
  • Ability to work independently on multiple projects leveraging strong organizational and time management skills.
  • Strong skills in data visualization tools (e.g., Tableau, PowerBI) and Microsoft Excel
  • Familiarity with other data analysis tools and programming languages (e.g., Python, R) is a plus.



Medical Home Network is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.