Senior Analytics Engineer - Los Angeles, United States - Wellth
Description
Wellth Is a Pioneering Digital Health Company.We seek to motivate and incentivize healthy habits for high-risk patients 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 50,000 patients, prevented an estimated 15,000 days in the hospital, and saved 530 lives.
You will have the opportunity to solve interesting healthcare data problems.Some of the problems you'll work on include:
Architect and implement scalable analytics to demonstrate customer outcomes.
Identify high-risk patients that are likely to gain significant benefit from Wellth programs.
Develop propensity score models for generating synthetic control groups.
Build and evolve predictive models:
churn, health improvement, disease progression, behavioral improvement, and more.
Investigate potential expansion / impact areas not yet addressed by Wellth's solutions.
Tell a powerful story about the impact of Wellth's positive behavior change through data and data visualizations.
Specifically, you will:
Develop and maintain a codebase for Wellth's second-generation data analysis and visualization package, focusing on healthcare outcomes.
Build durable self-service data tools operating on health data that support product insights for our customers.
Triage operational issues, address data bugs, create and maintain documentation.
Optimize and experiment with new and existing business-critical data models.
Seek, make available, and consume new data sets, including but not limited to healthcare data standard sets (e.g. claims data, clinical information, EHR data)
Serve as a thought partner to our Product Managers and Product leadership team. Educate our teams to help us ask better questions, interpret findings more effectively, and drive informed decision-making.
Provide leadership on industry best practices, trending topics, and emergent technologies to continuously improve and refine our processes and systems.
You will be a member of a diverse and supportive team.You will work with:
Product leaders, on building out a scalable healthcare outcomes analytics product.
Customer success leaders, to deliver evidence of Wellth's impact on outcomes.
Data engineers and analysts, to establish and maintain best practices in engineering and data operations.
Manager of Data Engineering, focusing on your professional growth in data science and leadership within the healthcare outcomes domain.
You might be the candidate we're looking for.
We're looking for someone who has:
5+ years of professional experience as an analytics engineer or data analyst in the healthcare sector, with hands-on experience with sensitive claims data, patient data, and other healthcare data sets.
Experience with architecting and operating production data systems: responding to and triaging issues, optimizing performance, and increasing stability, among other things.
Advanced proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices.
Proven ability to design and implement advanced, customer-facing data visualizations.Proficiency in developing, executing and maintaining dbt models.
Experience working on software development teams including proficiency with Git for collaborating via pull/merge requests and knowledge of agile and scrum methodologies.
Proficiency in analyzing and using database schemas and data dictionaries.Knowledge of Redshift, BigQuery, and other data warehouse infrastructure.
Familiarity with healthcare data standards and experience working with various healthcare data sets.
Comfort with autonomy in the face of ambiguous problems, delivering independently and in a team environment.
Excellent communication skills and the ability to present complex data in an accessible way.
We expect our candidates can:
Be proactive and independent in a startup environment, comfortable with imperfect data and infrastructure, partial documentation and stale playbooks.
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:3+ years of experience working with HEDIS and STARS measures
Familiarity with data orchestration technologies like Airflow, Dagster, or Fivetran
Experience with at least one data quality/observability tool such as dbt tests, Great Expectations, Metaplane, etc.
Experience working with Jupyter, Spark, and other data research technologies.
Deep knowledge of data security to protect highly confidential and sensitive data, especially in the healthcare industry.
You will enjoy working with us at Wellth.
The benefits of working with us include:
Flexible working arrangements, supporting strong remote-first practices and tools with the option to work in our excellent gathering space in Marina Del Rey.
Competitive salary
Health, dental, vision insurance, and FSA/HSA plans.
Ability to have a positive impact on people who need it most.
Support of a highly dedicated team focused on building the future of healthcare.
Base Compensation:
$130,000 - $180,000
Wellth is an equal-opportunity employer. We value diversity at our company.
We do not discriminate on the basis of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.
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