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.

Location

Los Angeles, California, United States