Data Analyst
12 hours ago
About Chartis
At Chartis, we are a management consulting firm dedicated to helping health plans, provider organizations, and healthcare professionals navigate the complex healthcare landscape. We bring our clients market-leading insights and actionable strategies that create sustainable value by looking beyond today's solutions and focusing on the capabilities and resources needed to execute our recommendations.
We are comprised of uniquely experienced senior healthcare professionals and consultants who apply a distinctive knowledge of healthcare economics, markets, clinical models, and technology to help each client address their most pressing issues. We question everything and apply thoughtful and rigorous analysis to each challenge, issue, and opportunity.
We are lucky to have extraordinarily talented people working in our firm, all brought together around our unifying mission, a shared dedication to our core values, and the emphasis we place on creating an environment that enriches the experiences of our clients, colleagues, and communities. In this way, we are remarkably aligned with our clients and have achieved some truly great things.
Role Overview
Our Analytics Engineers play a key role in sculpting analytics at Chartis, helping to design, build, and deploy cutting-edge capabilities to aid our clients across the healthcare industry while helping the growth of data analytics at the firm.
Responsibilities
Our Analytics Engineers will collaborate with data scientists, analysts, and advisory professionals to design and implement scalable data processes that support the organization's analytics needs. They will develop and maintain processes to integrate disparate healthcare data sources, ensuring data accuracy, completeness, and timeliness.
They will maintain thorough documentation of data processes, data models, and data architecture to facilitate knowledge transfer and ensure compliance with organizational standards. They will develop code using Big Data technologies such as Snowflake, PySpark, SQL, Python, dbt, R, SAS, etc.
Additionally, our Analytics Engineers will implement and enforce data quality standards, conduct data profiling, and collaborate with stakeholders to address data quality issues. They will lead the translation, integration, and evolution of analytics artifacts deployed on client engagements into standardized and scalable components of the Chartis analytics operations.
They will work closely with cross-functional teams, including data scientists, analysts, and healthcare professionals, to understand analytics requirements and provide technical expertise. They will identify business-aligned emerging healthcare analytic themes in collaboration with leadership and lead innovation with the design and development of new capabilities and solutions.
Our Analytics Engineers will help define standards and best practices for enterprise usage and support the continued development of data and analytics culture across Chartis Advisors through knowledge share, cross-functional training, and mentorship.
They will ensure the security, confidentiality, and integrity of client information for themselves and the team they supervise.
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