Aledade

Risk Performance Data Analyst, Remote

Job Description

Aledade is seeking a skilled Data Analyst specializing in Risk Adjustment to help drive impactful decisions through data analysis. In this role, you'll focus on analyzing patient population data to ensure accurate risk stratification and identify areas for improvement in healthcare programs.

Your responsibilities will include collecting, cleaning, and interpreting data to uncover trends and patterns, collaborating with cross-functional teams to provide actionable insights. By optimizing risk adjustment processes, you’ll play a key role in improving overall patient outcomes.

If you’re someone who thrives on turning data into actionable insights and is motivated by improving healthcare delivery, we’d love to see what you can bring to the team.

Candidates should be comfortable working remotely/work from home anywhere within the US.



Primary Duties:


Data Collection & Preparation:
  • Extract and aggregate healthcare data from various sources, including electronic health records (EHRs), claims databases, and administrative systems.
  • Clean and preprocess data to ensure accuracy, completeness, and consistency for analysis.
  • Perform data validation and quality assurance checks to identify and correct errors or inconsistencies.
  • Support Risk Stratification leadership with research, data analysis, and project management
  • Assist in developing meeting materials that simplify and streamline complex topics and business decisions, as well as support meeting facilitation
  • Analyze Aledade practices’ risk stratification performance trends and indicators across lines of business, markets, practices, and other segments to inform business decisions
  • Develop, maintain, share, and educate stakeholders on complex analytical models supporting risk stratification efforts
  • Ensure compliance with data governance and security policies while handling sensitive healthcare data

    • Cross-Functional Collaboration:
  • Work closely with healthcare providers, payers, and other stakeholders to understand business requirements and data needs.
  • Collaborate with product team(s), business intelligence team, and impact analytics team to identify opportunities for improvement, share learnings, and support business goals
  • Provide technical support and guidance to team members and stakeholders on data-related issues related to Risk Stratification

    • Data Analysis & Interpretation:
  • Utilize statistical techniques and analytical tools to analyze healthcare data and identify trends, patterns, and correlations
  • Conduct risk score evaluation and trend analysis to assess the accuracy of risk adjustment methodologies
  • Generate reports, dashboards, and visualizations to communicate findings and insights to stakeholders effectively

    • Minimum Qualifications:
  • Bachelor's degree in Business, Computer Science, Health Care Informatics, Statistics, or related field
  • 2-3 years of experience in healthcare data analysis, preferably in risk adjustment
  • Strong analytical skills and experience with data analysis tools and techniques (e.g., Excel, SQL, Python, Tableau, AWS, Snowflake)
  • Proficiency in Google Slides required, including storyboarding skills. Ability to translate complex analyses and concepts into engaging slides, and ability to draft executive-level materials with direction
  • Strong business software skills, including Excel and Google Sheets. Must have the ability to work with large, complex, & often incomplete data sets; utilize Index/Match, XLOOKUP, and other advanced formulas, pivot tables, and basic macros to automate repetitive tasks and enhance workflow efficiency; design and develop scalable cross-team standardized tools and reports that support data-driven decision-making processes
  • Strong problem-solving and critical thinking skills
  • Experience in developing and validating complex analytical models and algorithms
  • Excellent communication and presentation abilities, with the ability to communicate complex data insights in a clear and compelling way to non-technical audiences
  • Ability to work effectively both independently and collaboratively in a fast-paced, dynamic environment
  • Strong “business analyst” toolkit, including abilities to independently prioritize, solve problems via hypothesis-driven analytical methods, manage across multiple responsibilities and projects, execute with attention to detail, and overcome ambiguity

    • Preferred KSA's:
  • Familiarity with healthcare coding systems (e.g., ICD-10, CPT, HCPCS) and risk adjustment models (e.g., CMS-HCC, HHS).
  • Familiarity with value based care, accountable care organizations, risk stratification / risk adjustment, and/or Medicare Advantage 

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