分析员，性能套件分析

Your Future Evolves Here

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of 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, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

What You’ll Be Doing:

***WE ARE NOT OFFERING ANY TYPE OF SPONSORSHIPS***
The Performance Suite Analytics team offers candidates the opportunity to generate meaningful impact through translating disparate data points into tangible insights and actions.
Our team values accuracy, collaboration, and innovation, ensuring that all team members receive the support, tools, and skills to positively contribute to Evolent’s broader mission.
Collaboration Opportunities:
The Analyst, Performance Suite Analytics utilizes and develops analytic tools to solve complex business challenges as well as support decision making that can have a considerable impact on the organization and patient health. This role will support the Medical Cost Management activities, working in a Medical Economics team that supports Business Development and new product efforts.

• Support the underwriting of capitated risk proposals involving cost & use projections, trend selection/development, and estimation of Evolent’s ability to reduce cost and improve quality.

• Support the design of financial arrangements that are equitable for both Evolent and our Partners.

• Support the development of models and approaches aimed at quantifying and articulating our value.

• Perform research and analysis of complex healthcare claims, eligibility, and pharmacy data to make recommendations based on relevant findings.

• Draw actionable conclusions from analyses and effectively communicate to internal/external audiences at various levels of the enterprise.

• Translate analyses into Customer-ready deliverables using available visualization tools.

• Provide support and facilitate interaction with customers in a manner that fosters expertise and cooperation.

• Process and validate raw unadjudicated claims data

• Use programming skills to explore, examine and interpret large volumes of data in various forms to complete deliverables with minimal assistance and oversight.

Qualifications Required and Preferred:

• Bachelor’s degree, preferably with a quantitative major (e.g. actuarial, statistics, operations research, mathematics, economics) or healthcare focus (health administration, epidemiology, public health, biology)

• 1-2 years of professional experience in claims-based healthcare analytics with a payer, provider, clinical vendor, managed care, or related healthcare consulting entity

• Ability to communicate clearly with diverse stakeholders to solve problems; ability to translate between business needs and analytical needs

• Exceptional analytical and communication skills with the ability to identify and translate insights from quantitative and qualitative data

• Proficiency in SQL or SAS database/statistical programming languages or related programming language

• Advanced proficiency in Microsoft Excel

• Experience in data mining, advanced/ statistical analysis, and data manipulation

• Familiarity with healthcare reimbursement methodologies and calculations such as DRGs, Revenue Codes, CPT Codes, RVUs, bundled payments, etc. Preferred.

• Experience using data visualization software (s) to package analytical insights (Power BI, Tableau, or similar)- Preferred.

• Master’s Degree, especially with a quantitative focus (e.g. data science, machine learning, statistics, mathematics, computer science, or engineering)- Preferred .

• Working knowledge of healthcare claims; specifically, differences between institutional vs professional billing and various sites of care/service- Preferred.

• Familiarity with value-based care and utilization management- Preferred.

• Understanding of data systems and the critical thinking skills to solve new problems and adapt to changes in data architecture- Preferred.

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and 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 prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.
Technical Requirements:
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.
Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.If you need reasonable accommodation to access the information provided on this website, please contact for further assistance.
The expected base salary/wage range for this position is $80,250. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.Originally posted on Himalayas