Healthcare Data Analyst

About MedInsight Team

The Milliman MedInsight practice has assisted many healthcare organizations in evaluating and developing solutions to complex business problems. Our consultants are experienced in the key issues related to healthcare operations and the use of technology to support those operations. Because of our focus on those unique technology and operations issues facing the healthcare industry, we are uniquely qualified to assist organizations in solving complex business problems. Our Health IT software team has been developing and selling data warehousing solutions for over twelve years.

Profile overview

We are a healthcare data products and analytics company transforming how the industry understands and consumes healthcare data. We are looking for a Healthcare Data Analyst to join our team. This position focuses on healthcare data profiling and analysis tasks that require quantitative reasoning skill and knowledge of tools and technologies used in data analysis. This position is fully remote, while occasional travel may be required. This person’s primary duty will be to work with the research operations and analytics teams in development and maintenance of healthcare data products and analytical tools. We prize collaboration paired with high levels of autonomy, and quality paired with speed.

Responsibilities

• Execute appropriate analytics methods as directed based on research questions, project goals, and available resources
• Assist in developing detailed documentation of data sets and other technical topics
• Demonstrate consistent follow-through and exceptional attention to detail on all project tasks
• Work both independently and collaboratively in a cross-functional team environment, from planning to delivery stages
• Use a variety of data analysis technologies as appropriate to the given task or project
• Work with our teams around the US and in India

Example projects:

• Convert a manual, multi-step analytics pipeline into a more automated paradigm.
• Utilize healthcare claims to identify the volume and average cost of specific procedures performed by a specific set of providers or facilities.
• Draft in-depth profiles and field-level documentation of complex data sets.
• Use multiple data sources to create a crosswalk of physician group TIN to physician NPI.
• Translate custom, project-specific code and workflows into a standard repeatable process.

Skills and Requirements

Candidates must be team players with excellent interpersonal skills. They must also have some experience and familiarity with data analysis using large data sets. Particular experience with healthcare datasets (especially claims and/ or clinical data) is a significant plus. Below is a list of the skills and background requirements that align with duties of this role. We do not expect you to have all of these skills, but we are looking for applicants who have background, experience, or professional interest in a number of the following.

Education/experience:

• Bachelor’s degree or commensurate experience
• Masters degree or higher in related field strongly preferred
• Strong preference for education and experience with quantitative analysis, statistics, and/or data science.
• Education or experience in a research-driven field (economics, social science, mathematics, public policy, healthcare administration) is preferred.
• Familiarity with or exposure to the US healthcare system is a plus.

Skills:

• Ability to execute complex research and analysis projects and tasks
• Ability to translate conceptual instructions into discrete analytical tasks
• Some exposure to at least one data analysis platform or coding language (e.g. Python, R, SQL, SAS) is required; more than one is a plus
• Familiarity with a wide range of specific healthcare data sets (like Care Compare, NPPES, Medicare cost reports/ HCRIS, or others) is a plus
• Experience working with cloud computing and/ or relational database technologies (e.g., Microsoft SQL Server, Databricks) preferred
• Self-motivated, agile, and driven to think out of the box
• Excellent organizational, written, and oral communications skills
• Attention to detail and ability to follow established procedures
• Experience with any of the following is a plus: Azure DevOps, Git/ Gitlab, cloud environments like S3 or Azure, software development, healthcare policy, academic research

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