Région
The Lead Data Analyst - Risk Adjustment will be core to the growth of the business and will have an incredible opportunity to work with proven entrepreneurs as they scale a business model validated to save taxpayers money while extending life expectancy.
What you’ll do:
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience with varied technical skills
Cleanse, merge, and process data required to generate dashboards and reports for clinical quality, operational, and financial purposes
Ability to prioritize "quick and dirty" ad hoc models and analyses against more rigorous ones, as appropriate
Demonstrate desire to master various data domains and expertise around weaving them together to answer key questions from clinical, operational and financial stakeholders
Mentor analytics team members to prioritize and resolve issues as well as continue their professional development, uphold company's core values, and maintain employee engagement.
Advocates and champions for the development and use of analytic platforms and tools aligned to overall WBH’s data analytics strategy
Strategic and critical thinking with the ability to engage, build and maintain credibility with stakeholders and leadership.
Provide ideas backed by analysis on how to improve status quo, and finding new solutions and levers to improve business and clinical efficacy
Exhibits deep understanding of various data domains and provide innovative solutions for data integrity and accuracy.
Your qualifications:
Bachelor’s Degree (preferably in an analytical discipline) required.
Minimum of 5 years’ experience in business analytics, with a focus on converting business information into actionable analysis and insights
Minimum of two years’ experience in the healthcare industry.
Excellent organizational and communication skills with leaders, stakeholders and users.
Minimum 5 years’ experience with SQL, SAS, Tableau, Power BI or other analytical and business intelligence tools
Hands-on experience with analysis design problems and varied healthcare datasets and domains (e.g. enrollment, benefits, claims, clinical, risk, healthcare financials etc.)
Experience and aptitude using data to tell stories – be able to translate complex analysis into plain, simple language and contextualize analytics via effective story-telling
Ability to work independently with minimal supervision.
Demonstrated ability to prioritize in a fast-paced environment.
Experience and competency working with people from diverse backgrounds and cultures.
Deep commitment to helping unlock the potential of our most vulnerable seniors.
Los Angeles, California, United States