Our healthcare system assumes we make decisions based on what is best for us. But it’s not that simple. Everyday stressors often cloud our judgement as to what’s best in the long run. For people with chronic conditions, this can make healthy habit formation difficult.

Wellth is a venture-backed digital health company that improves adherence in chronic disease populations. Using the science of behavioral economics—combined with an appreciation for human nature—we uncover and address the unique obstacles that prevent people with chronic conditions from improving patient outcomes. Our program goes beyond current efforts to boost adherence with technology, reminders, and coaching solutions using contingency management and loss aversion to create motivation, behavior change and improve population health at scale.

In addition to our RCT-proven outcomes, our easy-to-use mobile platform experience has been proven by health plans, providers, and other organizations to empower members with the incentives and support system they need to establish new healthy habits. Key outcomes for members include improved med and care plan adherence, reduction in readmissions, hospitalizations, and ED utilization, improved PDC, and more.

You will have the opportunity to solve interesting healthcare data problems.

Specifically, you will:

• Perform data analysis to propose target patient cohorts.
• Develop visualizations that persuade potential customers of Wellth program ROI.
• Partner with customer data teams to ensure successful data ingestion and accurate ROI analyses.
• Create and validate transformations from customer formats to standard Wellth format.
• 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 and Customer Success 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.

You might be the candidate we're looking for.

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 and manage customer data projects and onboarding from start to finish and collaborate well with cross-functional roles.
• Be a subject matter expert on data interchange with our customers while maintaining attention to detail.
• 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.
• Participate in data storytelling by assembling a compelling story through data analysis and data quality investigations.

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.