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Evolent Health

Director, Performance Suite Analytics

Evolent Health, Hoffmeister, New York, us, 13353

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Overview

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with the most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of the fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, flexibility to suit their lives, and autonomy to get things done. We believe people do their best work when supported to live their best lives, and when they feel welcome to bring their whole selves to work. Diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. Who You’ll Be Working With

The Director, Performance Suite Analytics, utilizes and develops analytic tools to solve complex business challenges and support decision making with a potential impact on organizational performance and patient health. This role supports capitated risk and value-based strategy development, medical cost management activity, medical economics activity, and various internal operations functions; partnering with Business Development, Product Strategy, Finance/Accounting, Actuarial, EDWBI, Clinical, Performance Solutions and Partner Delivery. What You’ll Be Doing

Leading the analytics partnership with Business Development & Product teams in developing the strategic approach for innovative and in-demand value-based care pursuits Serving as a strategic partner of our analytics capabilities and processes related to the development/underwriting of capitated risk proposals including cost & use projections, trend development, and estimation of Evolent’s ability to reduce cost and improve quality Leading a team in the analysis and interpretation of cost and utilization data (medical and pharmaceutical) to explain potential upside/downside risks of a given arrangement/proposal Partnering with actuarial, finance, and analytics teams to incorporate new products and strategy innovations into existing analytical models and reporting frameworks Developing analytical models and synthesizing complex analyses into succinct presentations for internal & external stakeholder buy-in Assisting in the development of budgets and forecasts for each new business relationship and packaging key insights for tracking performance Collaborating with partner departments to establish best practice processes and efficient end-to-end proposal workflows across prospecting, data intake, analysis, proposal development/communication, client alignment, contracting, and implementation Using programming skills to explore, examine and interpret large volumes of data to complete deliverables with minimal oversight Leading and facilitating interaction with customers in a manner that fosters trust, expertise and cooperation Collaborating with internal/external business customers to understand problems and objectives, solve questions, and help achieve goals by performing statistical analysis, developing analytic models, and creating data reports/dashboards Managing, mentoring, and coaching analysts Setting clear goals and objectives and using metrics to measure performance while holding staff accountable The Experience You’ll Need (Required)

Bachelor’s degree, preferably with a quantitative major or healthcare focus At least 5 years of professional experience in claims-based healthcare analytics with a payer, provider, vendor, managed care, or related healthcare consulting entity Extensive knowledge of healthcare claims; differences between institutional vs professional billing and various sites of care/service Experience with healthcare reimbursement methodologies and calculations (DRGs, Revenue Codes, CPT Codes, RVUs, APMs, bundled payments, etc.) Advanced proficiency in Microsoft Excel Advanced proficiency in SQL or SAS Moderate proficiency in Microsoft PowerPoint Experience in data mining, advanced/statistical analysis, and data manipulation Knowledge of health insurance financial cycles, healthcare quality reporting, and benchmarking Ability to communicate clearly with diverse stakeholders and translate between business and analytical needs Strong analytical abilities with track record of identifying insights from data Prior people management experience Ability to work independently with limited oversight Finishing Touches (Preferred)

Master’s degree, preferably with quantitative or healthcare focus (data science, machine learning, statistics, mathematics, computer science, engineering, public health) Experience in a medical economics role within Utilization Management/Clinical Vendor Management Knowledge of healthcare underwriting methodologies Familiarity with value-based care and utilization management Understanding of data systems and problem-solving in changing data architectures Experience with Python, R, SAS, Hadoop, AWS, ArcGIS Experience with BI tools (Power BI) and Microsoft PowerPoint Technical requirements

We require that all employees have high-speed internet (10 Mbps or higher) at home; call center employees must be able to plug in directly to the home internet router. These requirements may change with office reopenings. Evolent is an equal opportunity employer

and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

If you need reasonable accommodation, contact recruiting@evolent.com . To ensure a secure hiring process, identity verification steps are conducted, including government-issued photo ID. Final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in disqualification. Salary: the expected base salary range is $130,000-145,000. This position is eligible for a bonus component dependent on performance. All compensation is determined by skills and experience and may vary above or below stated amounts.

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