Senior Healthcare Analyst

Senior Healthcare Data Analyst

Location: Remote

Pay Rate: $45-$55/HR

Contract: 6 Months (Extension Likely)

Overview

We are the leading provider of high quality, technology-enabled behavioral health care. We believe that everyone deserves access to high quality care and offers a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals to highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Clinical best practices are leveraged across all services to ensure individuals are getting the care they need. Our outcomes-focused care is proven to improve depression and anxiety by over 50% on average, as demonstrated in several peer-reviewed studies. For patients with high cost medical conditions, our clinically-tailored treatment is proven to reduce medical costs with care that empowers the patient to address their health needs. We partners with payers to make high-quality care accessible, affordable and convenient for millions of people to get the treatment they need.

Data is integral to nearly everything that we do, and as a result the analytics team plays a key role at our company. You should understand the causal inference framework and methodology and be able to apply it for your analysis. You should be excited to work with data, have the curiosity to dive deeply into issues, and feel empowered to make a meaningful impact at a mission-driven company. You will be a critical business partner to operational leaders, helping them to analyze the impact of our programs and provide insights on the populations that engage with us. Ideal candidates will provide guidance on designing studies, statistical methods, analyses, interpretation, and reporting study outcomes. This position reports to the Sr. Manager of Advanced Analytics.

The Primary Responsibilities:

• Develop analytic plan and conduct analyses as needed including relevant statistical analysis as required
• Develop and communicate a summary of findings and results to relevant business leaders or stakeholder
• Performs varied data analyses which may include:
• Causal Inference Methods
• Multivariate Statistical Analysis and Modeling
• ROI and Opportunity Analysis models
• Utilization and cost patterns of programs participants and non-participants for different products
• Support validation of predictive models
• Root cause analysis
• Design and create analysis datasets for the purpose of conducting analyses and ROI studies
• Perform quality checks on analysis datasets, tables, listings, figures
• Design presentation decks to communicate study findings
• Collaborate internally and externally to coordinate cross-functional analytics projects

Position Requirements

• You hold a BS/BA degree in a quantitative field (graduate degree in statistics, epidemiology, biostatistics, economics, public health, and relevant quantitative fields preferred), or equivalent work experience
• Minimum 2 years data analysis in health care experience applying causal inference methodologies required
• Experience with medical and/or pharmacy claims data preferred
• Excellent oral and written communications skills
• Strong analytical, organizational and problem-solving skills
• Fluent in SQL and R/Python
• Experience and/or coursework in statistical analysis and research methods
• Applied statistical skills including regression modeling, longitudinal analysis (including mixed models), data mining, and multiple testing strategies is preferred

Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.