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Sr Data Analyst
1 month ago
As a Senior Data Analyst, you will play a key role in supporting data-driven decision-making across our managed care and bill review operations. You will analyze complex datasets, uncover actionable insights, and provide strategic recommendations that directly impact claim outcomes, cost containment, and operational efficiency. This role requires an in-depth understanding of healthcare data within the workers' compensation sector and experience in building analytical solutions that align with the company's goals.
Primary Duties & Responsibilities
- Data Analysis & Methodology Development: Conduct in-depth analysis of claims, billing, and patient outcome data, developing robust analytical methodologies to provide insights and drive informed business decisions.
- Process Optimization & Automation: Design and implement automated workflows that replace manual processes, enhancing efficiency and ensuring consistency in analytical approaches.
- Data Quality & Modeling: Work with diverse data sources, focusing on evaluating data quality, defining data models, and ensuring the integrity of data used in analyses.
- Cross-Functional Collaboration: Partner closely with product and IT teams to translate analytical insights into data-driven products, providing guidance on data requirements and product design.
- Stakeholder Engagement: Collaborate with clinical, billing, and compliance teams to ensure alignment on data methodologies, metrics, and insights that support business objectives.
- Documentation & Training: Document analytical methodologies, process improvements, and best practices, providing training and knowledge sharing to ensure analytical consistency and scalability.
Required Skills:
- Technical Proficiency: Advanced knowledge of SQL and Excel. Proficiency in one or more scripting languages, with strong preference for Python and its associated numerical libraries (pandas, numpy, etc.)
- Analytical Skills: Excellent analytical mindset with experience in methodology development, trend analysis, and data quality assessment.
- Domain Knowledge: Prior experience with bill review in the workers' compensation industry, with a strong understanding of managed care and medical billing.
- Data Quality & Modeling Expertise: Experience working with varied data sources, ensuring data quality, and defining data models to support analysis.
- Communication Skills: Ability to communicate complex data insights in a clear, concise manner to both technical and non-technical stakeholders.
- Educational Background: Bachelor's degree in Data Science, Statistics, Healthcare Administration, or a related field; Master's degree is a plus.
- Experience: 4+ years of experience in data analysis, with a strong preference for candidates with bill review experience in managed care, healthcare billing, or workers' compensation.