Data Analyst, Health

Wellth is hiring a Data Analyst, Health with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working.Job description and responsibilities:We seek to motivate and incentivize healthy habits through individualized care plans. Our approach draws on a unique combination of behavioral economics, habit science, and cutting-edge technology to drive positive behavior and habit change among some of the US's most underserved and high-needs patient populations. Our work has produced demonstrable results, with several large health insurers reporting significant reductions in hospitalization rates by up to 44% in some cases. Our ambition is to be more than just another digital health startup; we aspire to be a category leader in the $88B health outcomes market, singularly focused on improving the lives and medical outcomes of historically hard-to-engage populations. Our work immediately impacts people's lives daily; we have served over 30,000 patients, prevented an estimated 9,000 days in the hospital, and saved 320 lives.You will have the opportunity to solve interesting healthcare data problems.Specifically, you will:• Perform pre-sales data analysis to propose target patient cohorts.• Develop visualization that persuades potential customers of our Wellth program ROI.• Negotiate data formats with customers to feed ETL processes.• Write data quality validations in tools like Great Expectations.• Create and validate conversion from customer-delivered formats to standard Wellth format.• Perform post-sales data analysis to finalize target cohort patient selection.• Perform internal analyses to assist product and operations teams.• Assist with Quarterly Business Review report generation.• Work closely with the internal data analysis and engineering team on recommendations for improving infrastructure, pipelines, security, and operations.You will be a member of a diverse and supportive team.You will work with:• Sales leaders on supporting pre-sale, post-sale, quarterly, and ongoing customer engagements.• Product leaders on cohort patient selection and product marketing initiatives.• Data engineers on establishing standard operating procedures for data operations and gathering customer data requirements for bespoke solutions.• Senior leaders to assist with their customer acquisition and retention strategies.• Our Manager of Data Engineering on your career development, supporting your technical and leadership growth.Requirements and qualifications:We're looking for someone who has:• 3+ years of experience working with healthcare products and data, having directly worked with claims data, patient data, and other health-related data sets.• 3+ years of professional experience as a healthcare data analyst or healthcare data engineer.• Proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices.• Proficiency in executing and maintaining dbt tools.• Proficiency in analyzing and using database schemas and data dictionaries.• Knowledge of Redshift, BigQuery, and other data warehouse infrastructure.• Excellent verbal and written communication in customer, internal, and leadership contexts.• High comfort level in operating with autonomy, delivering independently and in a team environment.• Understanding of business processes, ROI, cost analyses, and financial modeling.We expect our candidates can:• Thrive on the freedom and responsibility of working at a growing startup.• Take ownership of large customer data concerns from start to finish and collaborate well with cross-functional roles.• Be a part of the solution that is helping to fix all aspects of healthcare from provider to payer to, most importantly, the person seeking care.In addition to the above, our ideal candidate has:• Experience working with Jupyter, Spark, and other data research technologies.• Experience working with Apache Airflow, Glue, Fivetran, and other data orchestration technologies.• Experience working with Great Expectations, Metaplane, and other data quality technologies.• Deep knowledge of data security to protect highly confidential and sensitive data, especially in the healthcare industry.