Health Equity Analytics Lead

Summary

Job Description:

The Health Equity Analytics Lead will work with unstructured and structured data that will contribute to the development of the health equity data strategy, and includes data visualization creation, the evaluation of new data sources and perform advanced data processing. This individual contributor role will be a part of the Health Equity and Community Investments team, collaborating across the division and the organization to provide insight into development of the health equity data infrastructure that helps drive strategic business decision making. This role will also serve as a liaison between Health Equity and the Analytics and Data team.

Essential Accountabilities

• Processes, manipulates, analyzes and visualizes large quantitative and unstructured health equity data.
• Serves as a Health Equity data subject matter expert (SME) for the Health Equity team in addressing and identifying health disparities and SDOH/HRSN through a Public Health lens.
• Extracts, cleans and manipulates large datasets (structured and unstructured) for model building.
• Serves as a data expert and leverage technical data/Extract, Transform, Load/programming skills to continuously challenge the status quo and optimize our analytical tools and processes.
• Leads the development of the health equity data infrastructure to ensure appropriate creation of downstream clinical interventions to mitigate health disparities.
• Leverages methods from diverse disciplines such as, statistical modelling, information theory, information retrieval and other areas to build a robust health equity data engine.
• Weaves together data sets from various sources into a comprehensive holistic single source of truth.
• Develops Power BI solutions to visually enhance storytelling targeted to a variety of audiences.
• Deliver innovative and effective solutions for the management of the health equity strategy by researching and maintaining knowledge of health equity, evidence-based improvement interventions, industry trends, best practices, and benchmarks.
• Designs and implement reporting dashboards tracking key business metrics that provide actionable insights to Executive Leadership and other stakeholders across the organization.
• Collaborate with our data scientists to inform development of predictive models and algorithms that are used in business decision making throughout the organization.
• Consult with cross-functional stakeholders on insightful data patterns and potential implications to our business.
• Presents and communicates insights from quantitative analyses both technical and non-technical audiences.
• Work with functional sponsors and teams across Health Equity to implement analytic solutions by identifying opportunities to leverage data to drive business solutions.
• Responsible for larger assignments crossing lines of business, and ability to influence and present to managers and above.
• Serves as a data subject matter expert and mentor to the organization on the use of health equity data.
• Identifies and documents best practices and makes recommendations for standards improvement.
• Interacts regularly with business area partners at a manager level, presenting recommendations and statuses.
• Consistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.
• Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures.
• Regular and reliable attendance is expected and required.
• Performs other functions as assigned by management.
  
  

Minimum Qualifications

• Bachelor’s Degree or equivalent experience in quantitative areas like, Math, Epidemiology, Statistics, Medical Informatics, Computer Science. MPH preferred.
• Three (3) years of hands-on experience in predictive modelling, data visualization, data mining, and data analysis or seven (7) years of experience in health informatics required.
• Ability to create, develop/validate models independently.
• SAS Base Certification, SAS Advanced Certification or similar Analytic Software certification preferred.
• Project Management/Process Improvement knowledge (PMP, Six Sigma) preferred.
• Strong analytical skills.
• Experience with data visualization tools such as Tableau or Power BI required. Strong MS Office experience including Excel and PowerPoint.
• Ability to summarize and present complex information and qualitative analysis in a clear and concise manner to drive business ideas.
• Ability to present information and project findings and facilitate trainings effectively across all levels of the organization.
  
  

Physical Requirements

• Ability to work prolonged periods sitting and/or standing at a workstation and working on a computer.
• Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time.
• Ability to travel across the Health Plan service region for meetings and/or trainings as needed.
  
  

One Mission. One Vision. One I.D.E.A. One you.

Together we can create a better I.D.E.A. for our communities.

At the Lifetime Healthcare Companies, we’re on a mission to make our communities healthier, and we can’t do it without you. We know diversity helps fuel our mission and that’s why we approach our work from an I.D.E.A. mindset (Inclusion, Diversity, Equity, and Access). By activating our employees’ experiences, skills, and perspectives, we take action toward greater health equity.

We aspire to reflect the communities we live in and serve, and strongly encourage people of color, LGBTQ people, people with disabilities, veterans, and other underrepresented groups to apply.

Our Company Culture

Employees are united by our Lifetime Way Values & Behaviors that include compassion, pride, excellence, innovation, and having fun! We aim to be an employer of choice by valuing workforce diversity, innovative thinking, employee development, and by offering competitive compensation and benefits.

In support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.

Equal Opportunity Employer

Compensation Range(s)

Grade 209: Minimum $75,816 - Maximum $140,254

The salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position’s minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.

Please note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.