Senior Data Analyst | Minneapolis, Minnesota (Remote) | $35/hr.

• Able To is the leading provider of high quality, technology-enabled behavioral health care.
• Able To believes 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 with Able 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.
• Able To 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 at Able To, 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 at Able To, helping them to analyze the impact of Able To programs and provide insights on the populations that engage with Able To.
• 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.

• 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
• Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.
• Duties, responsibilities, and activities may change at any time with or without notice.

• 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

Education: Bachelors Degree

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