Remote Data Analyst with Healthcare experience - Remote

Description:

• The Data Analyst will ingest, standardize, and analyze pharmacy and medical claims and eligibility files.
• The role involves using exploratory data analysis (EDA) to identify general patterns and outlier data points.
• The analyst will build new and optimize existing ETL processes.
• The position requires engaging cross-functionally to identify, prioritize, and deliver data and analysis requirements.
• The analyst will partner with stakeholders to ensure data accuracy, consistency, and reliability, prioritizing and delivering actionable insights from analytics.
• The role facilitates a data-driven approach to problem-solving by increasing data accessibility across the organization via automated reports and dashboards.
• The analyst will develop, maintain, and QA an automated process to pull data and populate templates for monthly, quarterly, and annual reports, including ad hoc client, sales, and investor reports.
• Presenting financial reports to clients and prospects is a key responsibility.
• The analyst will build and track the effectiveness of rules identified by clinicians to generate engagement opportunities to improve member outcomes and drive savings.
• Collaboration with Product, Engineering, and Marketing teams is necessary to monitor engagement performance, identify new product features, and measure impact.
• The analyst will partner with external data vendors to securely transfer health data, ensuring efficient and correct processing at scale.

Requirements:

• A BS in STEM or other quantitative subject (e.g., economics, finance) is required; an MS degree is a plus.
• The candidate must have 3 years of professional experience analyzing data, generating dashboards and reports, and providing insights derived from research to cross-functional teams.
• A minimum of 2 years of experience working with healthcare data is required.
• The candidate should understand and support business priorities.
• Experience working with large, complex healthcare datasets is necessary.
• Proficiency with SQL is required.
• An understanding of applied statistics is essential.
• The ability to distill and communicate analytic results to a variety of stakeholders is necessary.
• Strong problem-solving and communication skills are required.
• The candidate must be able to accurately articulate a technically complex subject matter to an audience spanning the technical competency spectrum.
• The ability to thrive in a fast-paced environment and work independently is essential.
• Careful attention to detail, accuracy, and deadlines with the ability to multitask on different projects is required.
• Preferred qualifications include experience creating clear deliverables from vague requirements, experience with Python and Pandas, and experience developing advanced models (i.e., machine learning, linear regression).
• Familiarity with working with big data and no-SQL databases, AWS, and data visualization platforms like Looker, Tableau, or Sigma Computing is preferred.
• The candidate should be self-motivated, creative, curious, and have attention to detail.
• Familiarity with working with source control systems, e.g., GitHub and GitHub Actions, is preferred.
• Experience with presenting reports to clients and senior management is beneficial.
• The ability to create and maintain standard operating procedures for all data activities is preferred.
• Experience with Artificial Intelligence is a plus.

Benefits:

• This is a remote position, allowing for flexible work arrangements.
• The company offers unlimited time off to promote work-life balance.
• Health insurance is provided to support employee well-being.
• The company boasts an excellent culture, fostering a positive work environment.