Manager, Business Intelligence

About Us

Our purpose is to help clients exceed their financial health goals. Across the reimbursement cycle, our scalable solutions and clinical expertise help solve programmatic needs. Enabling our teams with leading technology allows analytics to guide our solutions and keeps us accountable achieving goals. We build long-term careers by investing in YOU. We seek to create an environment that cultivates your professional development and personal growth, as we believe your success is our success.

Job Summary

CorroHealth is seeking a detail-oriented and analytically minded Manager, Business Intelligence to help drive operational efficiency across our revenue cycle service lines. This role sits at the intersection of data analysis and continuous improvement — you will mine operational and financial data to identify bottlenecks, inefficiencies, and quality gaps, then partner with operations, technology, and clinical teams to design and implement solutions that improve throughput, accuracy, and client outcomes. This is an ideal role for someone who enjoys translating data into action: building dashboards and reports, running root-cause analyses, and leading or supporting process redesign initiatives grounded in data.

Essential Duties and Responsibilities

• Analyze operational, production, and quality data across coding, CDI, claims, and/or denials management workflows to identify trends, inefficiencies, and improvement opportunities.
• Design, build, and maintain dashboards and reports (e.g., in Excel, Power BI, Tableau, or SQL-based tools) that give leadership visibility into KPIs such as productivity, turnaround time, accuracy rates, and cost-per-unit.
• Partner with operations leaders to define process improvement goals, translate them into measurable metrics, and track progress over time.
• Conduct root-cause analysis on process breakdowns, quality issues, and client escalations, and recommend data-supported corrective actions.
• Apply process improvement methodologies (e.g., Lean, Six Sigma, Kaizen, or similar) to map current-state workflows, identify waste, and design future-state processes.
• Collaborate cross-functionally with IT, automation/AI teams, and business units to evaluate and support the implementation of technology-driven efficiencies (e.g., workflow automation, AI-assisted coding tools).
• Build financial and operational models to quantify the impact of proposed process changes (cost savings, productivity gains, quality improvement).
• Support the design and monitoring of pilot programs, tracking results and iterating based on data.
• Prepare clear, concise presentations and reports for leadership and, where applicable, client stakeholders summarizing findings, recommendations, and results.
• Maintain data integrity and documentation standards across analyses and process documentation.
• Stay current on healthcare revenue cycle trends, payer policy changes, and industry benchmarks that may affect process design.

Qualifications and Requirements

• Bachelor's degree in Business Analytics, Data Analytics, Statistics, Health Informatics, Industrial Engineering, or a related field (or equivalent experience).
• 2+ years of experience in a data analyst, business analyst, or process improvement role, preferably within healthcare, revenue cycle management, or a related services environment.
• Strong proficiency in Excel (advanced formulas, pivot tables) and at least one BI/visualization tool (Power BI, Tableau, or similar).
• Working knowledge of SQL for querying and manipulating data from relational databases.
• Demonstrated experience applying process improvement frameworks (Lean, Six Sigma, Kaizen, DMAIC, or similar); Lean Six Sigma Green Belt certification a plus.
• Strong analytical and problem-solving skills with the ability to translate complex data into clear, actionable insights.
• Excellent written and verbal communication skills, including the ability to present findings to non-technical stakeholders.
• Detail-oriented with strong organizational and project management skills.
• Ability to manage multiple initiatives simultaneously in a fast-paced, deadline-driven environment.

Preferred Qualifications

• Experience in healthcare revenue cycle management (medical coding, clinical documentation improvement, claims/denials management, or utilization management).
• Familiarity with healthcare data standards and terminology (ICD-10, CPT, HCPCS, DRG).
• Experience working with automation or AI-driven workflow tools.
• Prior experience supporting or leading process improvement projects in a shared-services or BPO/outsourcing environment.
• Exposure to statistical analysis tools (e.g., Python, R, Minitab).