Data Analyst (NYC Hybrid)

Empassion Health, Inc.

New York, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Big Data Health Informatics Database Queries Python (Programming Language) SQL Databases Tableau (Software) Technical Data Management Systems Fast Healthcare Interoperability Resources Pandas Data Analytics Tools for Reporting Looker Analytics

Job description

Collaborate with cross-functional teams to understand business requirements and report on data from various sources, ensuring data quality, consistency, and accuracy.
Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.) healthcare metrics from claims and product data.
Help to validate regular claims and eligibility data refreshes.
Act as a healthcare data SME on a rapidly growing Data & Analytics team.
Design, develop, and maintain algorithms and data models, using SQL and dbt.
Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making to stakeholders, using Looker.
Create documentation and training materials for technical and non-technical users of our data products

Requirements

2+ years of experience in healthcare analytics, analytics engineering, or medical economics, having delivered actionable insights from big data analytics environments to Clinical, Operations, or Finance teams
Deep familiarity with healthcare claims and eligibility data
Strong SQL skills
Excellent communication abilities around highly technical data topics and the ability to work with a diverse set of technical and non-technical audiences (peers, engineers, operations, external customers)
Proficiency with BI/reporting tools (Looker, Tableau, etc.)
Excitement about working in a fast-moving startup environment
A bias for action and enthusiasm for fast iteration Nice to have:
Proficiency with dbt and templated SQL
Familiarity with clinical healthcare data sources and standards (ADT, EHR, Labs, FHIR, USCDI, etc.)
Experience with statistical analysis software (Python/pandas, R, etc.) Ready to Make a Difference? If you’re driven by data, healthcare, and impact, apply and let’s talk!