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Senior Healthcare Economics Consultant (permanent position)


Huntington Beach, California


Senior Healthcare Economics Consultant (permanent position) Job Opening in Huntington Beach, California - Senior Healthcare Economics Consultant
**Please Note: This is not a contract position, it is a Permanent Position
Who Are We?
Landmark Health is a high growth , entrepreneurial organization committed to improving healthcare for patients with the most serious and complex medical needs wherever they reside and whenever they need it.
Landmark is built upon the core belief that a physician-led, patient-centric, and contextually relevant intervention plan is the key to driving meaningful impact to patient care. Our clinical model is transformative ? it represents a landmark in the evolution of our nation?s healthcare system.
Turning this vision into reality requires exceptional people who share our unwavering commitment to the patients we serve.
Do you want to make a difference?
Join us today!
Visit our website:
Position Summary:
In this high-profile role on the Healthcare Economics team, you will apply your experience with healthcare claims data and SAS or SQL to measure the financial value that the Landmark Health program brings to our customers and their members. You will also provide a wide range of analysis and reporting to measure the value and improve the effectiveness of our clinical operations, making a significant, positive impact to our business and patient care.
What you'll be doing:
Extract, analyze, and interpret healthcare utilization and financial data to address business questions regarding population health management, health and economic outcomes, quality of healthcare, and product design.
Develop new SAS- and SQL-based processes to report on healthcare utilization trends and financial savings derived from the Landmark Health program.
Work with clinical and finance teams to understand and evaluate the drivers of quality, engagement, and utilization in our membership cohort.
Track issues with reports, including defects in logic, data quality problems, and process errors.
Develop tools for monitoring data quality and work with data warehouse team to assist in development of corrective action plans.
Assist with analytics for new business development projects.
What we're looking for :
A Bachelor?s degree in statistics, mathematics, economics, or epidemiology. A Master?s degree is a plus.
Minimum 4 years of health care industry experience is preferred.
Minimum 4 years of experience programming in SAS and/or SQL is required.
Experience using statistical methods and clinical codes to evaluate healthcare claims data strongly preferred.
Strong organizational, analytical, multi-tasking, documentation, presentation, and problem-solving skills.
Ability to communicate effectively in both oral and written form to a widely diverse audience.
Strong business acumen and interpersonal skills.
Ability to identify relationships in data sets, determine key fields, and present findings unassisted.
Bonus Points Awarded for:
Health Care Effectiveness Data and Information Set (HEDIS) is a plus and Not required.
Quality improvement measurement tools is a plus and Not required.
Tableau software experience is a plus and Not required.
What Makes this a Great Opportunity?
Apply and stretch your health care data analysis, statistics and business analysis experience in a collaborative, team environment with a company that is patient focused!
Highly Competitive Compensation Package!
Unlimited opportunity to grow within the company and to work with our CEO and senior management team to deliver second to none patient care!
Work with a rapidly growing, financially stable company with a highly motivated and successful support team!
Great benefits package including 401k with company match, Medical, Dental, Vision, Generous Paid Time Off Plan!
Expense Reimbursement for Child and Elder Care, Education, Licensing and Credentialing
Much More!
Landmark Health, LLC is an Equal Employment Action employer.
Job Type: Full-time
Required experience:
programming in SAS or SQL: 4 years

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