Experience: 6 to 10 Years

Key aspects of this role:

• Perform in-depth analysis of healthcare data to design, develop, and deliver analytic solutions.
• Develop and maintain complex analyses critical to the business utilizing a variety of tools including SAS, R, SQL or Python. This includes data calculation, visualization, and automation.
• Perform and review quality checks on incoming, outgoing and aggregated data in order to identify data anomalies.
• Write SQL programs to access, clean, and transform required data prior to analysis and reporting
• Develop data visualizations to provide insights with more impact, specifically with relation to book of business outcomes reporting and client specific projects
• Conduct ad-hoc analysis as required to support internal stakeholders in Client Success, Sales, and Marketing
• Coordinating the production of regularly scheduled analytic deliverables, model updates and file scoring jobs for client delivery.
• Collaborate with other internal analytics and client reporting team members to ensure appropriate data is analyzed and that results are provided in a format consistent with standard and customized client reporting services
• Troubleshoot and perform data audits to ensure and improve data integrity; investigate and resolve data discrepancies

To be the right fit, you will need:

• A bachelor’s degree in Statistics, Computer science, Economics, Mathematics, Biostatistics, Engineering, Epidemiology, Information Technology, Economics or related field;
• Advanced knowledge and recent hands-on experiences in SQL databases required, Redshift preferred
• Knowledge of industry standards and practices in descriptive/predictive analytics and reporting concepts.
• Experience with one or more of the following programming languages: SAS, SQL, Python, R. Experience with machine learning (PySpark, H2O) a plus
• Comfortable working collaboratively in a global environment with remote teams
• Strong Communications skills for interactions with both internal teams as well as external clients.
• Aptitude to learn new technologies and troubleshoot complex problems independently
• Extremely detail oriented.
• Team oriented with a track record of working well with others to achieve common goals.
• Positive professional attitude with a strong willingness to learn.
• Ability to take ownership of assigned tasks.
• Ability to manage multiple competing deadlines

Good to have:

• Knowledge of data visualization tools and techniques a plus (i.e. Tableau, MicroStrategy)
• Redshift is preferred