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We are looking for a Senior Data Analyst to come join our awesome team. As the Senior Data Analyst, your responsibility will be to make sure data in our platform is validated, cleaned and ready for any reporting and analytics work.
At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunity. You will be part of the data management team and build one Cohere data platform to support our downstream teams to optimize patient care paths.
Key Responsibilities:
Quickly understand Cohere’s products, services and clinical programs and how Cohere’s x-functional collaboration and workflow support healthcare providers’ workflow and patients’ care journey
Work with business analysts to understand what data we have and monitor production jobs
Ensure data quality, for example:
Monitor daily refresh data jobs from payer to our Cohere platform and from Cohere platform to our data platform
Build and review ETL summary reports
Perform and review quality checks on incoming, outgoing and aggregated data in order to identify data anomalies.
Create and manage data issue log
Desired Profile:
Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible.
Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment.
Strong written and verbal communication skills
Minimum 5 years of professional experience in healthcare industry (payer, provider, consulting), with demonstrated quantitative analytical and critical thinking skills.
6+ months of payer medical claims analysis required.
Advanced knowledge of observational data analysis methodology (e.g., pre- and post-, quasi-experimental design, difference in differences) with large data including medical claims, pharmacy, and eligibility data.
Advanced knowledge of analytical and programing languages, (e.g., SQL or R, Python) and BI tool e.g. Tableau
Experience working with medical, pharmacy, and lab claims as well as EHR data to extract clinical information for analytics and modeling purposes.
Master’s Degree in a quantitative discipline such as Epidemiology, Economics, Statistics, Data Science, Clinical Informatics, and/or related fields required.
Experience with cardiology clinical and utilization management programs preferred.
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