Principal Insights Analyst (Healthcare)

Cotiviti

2d • $95,000 - $115,000 • Remote

About The Position

Cotiviti Healthcare is a leader in payment accuracy services, serving top-tier companies in healthcare and retail. We're actively seeking exceptional tech talents who are passionate about driving innovation, transforming healthcare systems, and accelerating their professional growth. Join our dynamic team of problem solvers and make a meaningful impact in healthcare payment integrity as a Principal Insights Analyst. This role is a key contributor to healthcare team, playing a crucial role in supporting the Payment Integrity area, and will partner closely with other business units, providing both project-based work and on-demand support. This position serves as a senior analytical leader and trusted advisor to the business, responsible for translating complex data into actionable insights that drive strategic decision-making, operational performance, and revenue growth. This role combines advanced data analysis, market and competitive intelligence, cross-functional partnership, and mentorship to elevate both business outcomes and analytical maturity across the organization.

Requirements

• Bachelor's degree with quantitative focus (Economics, Engineering, Computer Science, Mathematics, Statistics or Accounting) or equivalent practical experience.
• 8 - 10 years experience in data analytics, business analytics, data science, management consulting, investment banking, business strategy, operational excellence/process improvement, and/or Finance.
• Deep expertise in advanced data analysis, statistical modeling, and data visualization, with strong proficiency in SQL and database management, and experience using tools such as Python, R, Tableau, Power BI, MicroStrategy, Power Pivot, or similar BI platforms.
• Demonstrated ability to manipulate and analyze large, complex, and diverse datasets (structured and unstructured) to generate predictive, prescriptive, and diagnostic insights.
• Expert-level data storytelling skills, with the ability to translate complex technical and analytical concepts into clear, compelling narratives for non-technical and executive audiences.
• Strong business acumen, including experience conducting business optimization, ROI analysis, financial modeling, and opportunity cost evaluations aligned to organizational objectives.
• Proven experience managing multiple complex projects and ad hoc analytical requests simultaneously in fast-paced, ambiguous environments with minimal direction.
• Experience with data governance, data quality management, and data security best practices.
• Prior experience leading or mentoring analysts, with the ability to provide technical guidance, coaching, and professional development.
• Proficiency in Microsoft Office Suite (Excel, PowerPoint, Visio, Access) with advanced modeling and executive presentation capabilities.
• Familiarity with Lean principles, process improvement methodologies, and project management frameworks such as Agile or Scrum.
• Critical Thinking: Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations.
• Attention to Detail: must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting.
• Quantitative Aptitude: Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models and manipulating data using mathematical operations.
• Data Interpretation: skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively.
• Communication Skills: Effective communication skills are crucial for conveying complex technical concepts and insights to non-technical stakeholders clearly and understandably through written reports, presentations, and verbal discussions.
• Curiosity and Learning Agility: A strong desire to learn and explore new methodologies, techniques, and tools in the field of data analysis and insights generation are essential for staying current with industry trends and best practices.
• Resilience: The ability to handle pressure, adapt to changing priorities, and overcome setbacks is important in a fast-paced and sometimes ambiguous analytical environment.
• Ethical and Integrity: Upholding ethical standards and maintaining integrity in handling sensitive data and information is paramount for building trust and credibility in the insights provided.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
• No adverse environmental conditions expected.

Nice To Haves

• Experience in healthcare, healthcare payment accuracy, and/or software industries strongly preferred.
• Certifications in data analytics, business intelligence, project management, or related disciplines are a plus.
• Demonstrated alignment with organizational core values, strategic pillars, and operational disciplines in delivering results and collaborating across the enterprise.

Responsibilities

• Strategic Data Analysis & Insight Generation
• Lead sophisticated data analysis, modeling, and diagnostic/prescriptive insight generation across complex and diverse datasets to uncover trends, risks, and opportunities.
• Interpret analytical findings within business and industry context to deliver clear, actionable recommendations to stakeholders.
• Conduct deep-dive analyses and root cause investigations to address operational bottlenecks, performance gaps, and growth opportunities.
• Design, develop, and maintain intuitive dashboards, automated tools, templates, and KPI reporting products to support data-driven decision-making.
• Design data models and complex analytical tools that support broad trend analysis and scalable insight generation.
• Conduct ROI, opportunity cost, and resource allocation analyses to inform capital investments, operational priorities, and new business opportunities.
• Lead monthly and quarterly business reviews, benchmarking financial performance, productivity, cost trends, and overall business health.
• Market Research & Competitive Intelligence
• Conduct market research and competitive analysis to identify industry trends, emerging best practices, and opportunities for differentiation.
• Synthesize external market intelligence with internal data to inform strategic initiatives and business planning.
• Stay current on advancements in analytics, business intelligence, and industry-specific methodologies, leading adoption of new tools and approaches as appropriate.
• Cross-Functional Collaboration & Stakeholder Engagement
• Lead consultative requirements-gathering sessions with internal stakeholders to scope analytical needs and define solutions aligned with business objectives.
• Partner closely with marketing, sales, product, operations, finance, clinical, and technology teams to define KPIs and prioritize analytical initiatives.
• Collaborate with data scientists and engineers on planning, testing, QA, and deployment of analytical and software solutions.
• Present insights, recommendations, and narratives to senior leadership in a clear, concise, and compelling manner.
• Solicit and manage requirements and service-level expectations for ad hoc and complex reporting requests.
• Process Optimization & Business Transformation
• Lead process optimization initiatives to reduce time-to-value in analytics and reporting while maximizing organizational efficiency.
• Assist leadership in executing transformational business practices and strengthening operational rigor and accountability.
• Own and drive strategic initiatives that have direct impact on in-year revenue and operational performance.
• Mentorship, Enablement & Knowledge Sharing
• Provide strategic mentorship and guidance to junior analysts, supporting professional growth and skill development.
• Serve as a subject matter expert in data analysis tools, methodologies, and database schema across enterprise data environments.
• Create, document, and maintain training materials, best practices, and standard operating procedures; monitor and update SOPs as needed.
• Train and coach analysts and business partners on analytical best practices, data storytelling, and tool adoption.
• Data Governance & Compliance
• Ensure adherence to data governance policies, data privacy regulations, and industry standards.
• Safeguard sensitive data through appropriate access controls and data integrity practices.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.
• This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Benefits

• Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees