Data Manager

ParetoHealth•Philadelphia, PA

30d•Hybrid

About The Position

As a Data Manager, you will support harnessing the critical data required to support strategic decision-making at the company. You will play a key role in executing the vision of the Analytics team to provide intelligence to stakeholders across the organization, serving as a liaison between technical data management and business strategy. This position will report to the VP of Analytics. It requires experience working with rich, multi-faceted data that includes medical and pharmacy claims as well as a variety of other healthcare-related data sources.

Requirements

5+ years’ experience in a healthcare-based data management/stewardship role
3+ years’ experience working directly with administrative healthcare data (medical and pharmacy claims, enrollment data)
Deep understanding of database models, ETL tools, and common quality challenges inherent in healthcare data
Strong SQL skills, including building, optimizing, and validating complex queries
Bachelor’s degree in a quantitative/data related field (or equivalent work experience)

Nice To Haves

Experience working with Salesforce data, healthcare vendor-reported utilization and savings data, and/or stop loss insurance data
Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR
Experience using programming languages, such as Python, for analysis and data wrangling

Responsibilities

Support End-to-End Analyses
Work directly with large, messy healthcare datasets, including medical and pharmacy claims
Build and maintain robust SQL queries and analytical datasets
Ensure that all data assets are accurately managed and maintained, and are usable for business purposes
Support specific data integration efforts
Partner with Lead Data Manager and stakeholders to ensure understanding of business requirements
Partner with Data Engineering to create and maintain appropriate data structures and models
Coordinate with internal and external data suppliers to ensure timeliness and accuracy of inbound data sources
Follow and enhance data quality assurance processes and data governance policies
Ensure creation of appropriate metadata to ensure data is well documented and understood
Collaborate Within the Team
Work closely with other team resources to ensure necessary data sources are created, maintained and documented for all team projects
Contribute through collaboration and shared problem-solving