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Director, Analytics

Remote - USA

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EMPLOYER: COUNTERPART HEALTH, INC.

TITLE: Director, Analytics

Location: 30 Montgomery Street, Suite 340, Jersey City, NJ 07302; Telecommuting permissible from any location within US.

Salary: $207,000 - $260,000/year

DUTIES:The role applies advanced analytics, data engineering, & statistical modeling to large healthcare operational datasets to generate insights for organizational decision making. The employee leads the strategy, design, & optimization of an enterprise analytics platform on Google Cloud Platform, using BigQuery, Apache Beam, Airflow, Kubernetes, & Tableau. They oversee development of data pipelines, semantic layers, & reporting systems for BI tools including Mode, Looker, & Tableau. Projects focus on value-based care operations, including risk adjustment, claims analytics, quality reporting, & executive dashboards. The work supports providers & payers in improving outcomes & efficiency through analytics, with platforms built for operational, financial, & quality data not clinical trial or research data. Data includes claims, risk adjustment, quality reporting, & member/provider attributes, supporting population health, forecasting, & performance evaluation. The role requires HIPAA compliance & adherence to data governance policies but does not involve clinical data standards. Responsibilities center on managing and enhancing the analytics platform, ensuring data quality, & enabling reporting from healthcare operational datasets. Manage a team of data scientists, analysts, and BI developers to most effectively drive impact for our users and their patients. Focus on identifying and solving the highest impact analytics data platform enhancements both for our users and our business simultaneously. Be a part of the Counterpart technology leadership team, helping build and design OKRs for the product as well as the pods. Be the subject matter expert within Counterpart Assistant for all things relating to our analytics data, our analytics platform, and how other pods leverage this data to drive insights and capabilities. Iteratively improve the analytics data platform, finding ways to deliver value as early as possible in the development process. Articulate how Counterpart can measure the progress it’s making; if you can’t measure it, you can’t describe how you’ve moved it. Be accountable to analytics that drive outcomes. Analytics should drive understanding, enabling us to make data-informed decisions, which improve business outcomes. Monitor and address data quality issues, ensuring the accuracy and integrity of the analytics data. Telecommuting permissible from any location within US.

REQUIREMENTS: Bachelor’s degree or foreign degree equivalent in Computer Science, Data Analytics or related field and eight (8) years of experience in data analytics, data engineering or in a related role.

Experience and/or education must include:

1. Technical architecture of an analytics platform including GCP cloud infrastructure including BigQuery, Apache Beam, Kubernetes, Tableau
2. Product analytics and reporting levering SQL and Python within Airflow DAGs and data modeling building semantic layers for rapid reporting in Mode and Tableau
3. Apply healthcare data sets for executive analytics for value based care organizations, specifically understanding the financial drivers of VBC organizations (RAF modeling from MOR and MAO-004 data sets, claims modeling from CCLF and varied claims data sets, supplemental risk adjustment submission flows)
4. Operate within a modern technology company’s organizational structure levering Jira, Google Docs, figma, slack and other communication channels as well as development using Continuous Integration and deployment (CI/CD) pipelines to ensure that changes are incorporated into shipping software and deployed correctly.
5. Manage BI tooling such as Mode, Tableau, Lookr, or PowerBI within an infrastructure as well as build reporting and business intelligence system
6. Experience in data visualization, including formatting analytics data, and experience presenting data to senior healthcare executives

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