Cotiviti is seeking a Principal Insights Analyst to serve as a senior analytical leader and trusted advisor. This role is responsible for translating complex data into actionable insights that drive strategic decision-making, operational performance, and revenue growth. You will combine advanced data analysis, market intelligence, and cross-functional partnership to elevate business outcomes across the organization.
What You'll Do
- Lead sophisticated data analysis, modeling, and diagnostic/prescriptive insight generation across complex and diverse datasets.
- Interpret analytical findings within business and industry context to deliver clear, actionable recommendations.
- Conduct deep-dive analyses and root cause investigations to address operational bottlenecks and performance gaps.
- Design, develop, and maintain intuitive dashboards, automated tools, templates, and KPI reporting products.
- 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 and operational priorities.
- Lead monthly and quarterly business reviews, benchmarking financial performance, productivity, and cost trends.
- Conduct market research and competitive analysis to identify industry trends and opportunities for differentiation.
- Synthesize external market intelligence with internal data to inform strategic initiatives and business planning.
- Stay current on advancements in analytics and business intelligence, leading adoption of new tools and approaches.
- Lead consultative requirements-gathering sessions with internal stakeholders to scope analytical needs.
- Partner closely with marketing, sales, product, operations, finance, clinical, and technology teams to define KPIs.
- Collaborate with data scientists and engineers on planning, testing, QA, and deployment of analytical solutions.
- Present insights, recommendations, and narratives to senior leadership in a clear and compelling manner.
- Solicit and manage requirements and service-level expectations for ad hoc and complex reporting requests.
- Lead process optimization initiatives to reduce time-to-value in analytics and reporting.
- Assist leadership in executing transformational business practices and strengthening operational rigor.
- Own and drive strategic initiatives that have direct impact on in-year revenue and operational performance.
- Provide strategic mentorship and guidance to junior analysts, supporting professional growth.
- Serve as a subject matter expert in data analysis tools, methodologies, and database schema.
- Create, document, and maintain training materials, best practices, and standard operating procedures.
- Train and coach analysts and business partners on analytical best practices and data storytelling.
- Ensure adherence to data governance policies, data privacy regulations, and industry standards.
- Safeguard sensitive data through appropriate access controls and data integrity practices.
What We're Looking For
- 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.
- Strong proficiency in SQL and database management.
- 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 to generate predictive, prescriptive, and diagnostic insights.
- Expert-level data storytelling skills, with the ability to translate complex technical concepts for non-technical and executive audiences.
- Strong business acumen, including experience conducting business optimization, ROI analysis, financial modeling, and opportunity cost evaluations.
- 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 and coaching.
- 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.
- Demonstrated alignment with organizational core values, strategic pillars, and operational disciplines.
Nice to Have
- 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.
Technical Stack
- SQL, Python, R
- Tableau, Power BI, MicroStrategy, Power Pivot
- Microsoft Office Suite (Excel, PowerPoint, Visio, Access)
Benefits & Compensation
- Salary: $95,000 to $115,000 per year.
