Job Title: Healthcare Analytics Engineer at Scene Health

Location: Remote

Company Overview:

Scene’s (formerly emocha) 360° model of care scales and enhances the gold standard of medication adherence, Directly Observed Therapy. Combining personalized video coaching, education, and motivational content, Scene brings healthcare professionals, patients, and their families together to solve the $500B medication nonadherence problem. Scene’s mobile app allows patients to connect with a care team of pharmacists, nurses, and health coaches through daily video check-ins anytime and anywhere. Scene makes it fun for patients to stay on top of their medications, helps them address any medication challenges, and empowers them to improve their health by identifying and addressing barriers to adherence related to social determinants of health. Hundreds of customers across the healthcare landscape use our medication engagement program to improve medication adherence for patients with chronic and infectious diseases.

Job Description:

Reporting to VP of Analytics, the Analytics Engineer will own the claims data processes from ingestion to transformations. Transform complex healthcare claims data into actionable insights that drive informed decision-making. This critical role bridges the gap between healthcare and data analysis, optimizing healthcare efficiency and patient outcomes.

Key Responsibilities:

Data Engineering:
Utilize SQL queries and build data pipelines (using dbt)
Conduct thorough data quality assurance (QA) to identify inconsistencies, guaranteeing data integrity and generating periodical QA reports.
Data Analysis:
Work with data analysts to build transformations.
Develop and implement novel metrics and aggregations related to healthcare claims, including risk scoring, utilization patterns, and medication trends.
Data Communication:
Translate findings into clear, concise reports and presentations, effectively communicating insights to both technical and non-technical audiences.
Generate monthly claims reports to keep stakeholders informed.
Collaboration:
Foster communication and collaboration between engineering and analytics teams.
Work alongside data scientists, healthcare professionals, and business stakeholders to ensure analysis aligns with organizational goals.

Qualifications:

Strong foundation in SQL, data warehousing, dbt (preferred), and potentially programming languages like Python or R.
Understanding of healthcare claims data required, medicare, medicaid claims data experience a huge plus.
Healthcare payer experience
Understanding of healthcare economics is a plus.
Passion for data analysis, identifying patterns, and drawing insightful conclusions.
Excellent communication skills to explain complex data analysis.