The Senior Insight Analyst is part of our Operational Insights team and will lead the analysis of complex data sets to provide actionable insights and strategic recommendations that drive business growth and optimize performance. This is a key role in guiding the data analysis process, mentoring junior analysts, and collaborating with stakeholders across the organization to identify opportunities and implement data-driven solutions. This position would act as a subject matter expert on the team.

Analysts contribute to the organization's success by providing insights and recommendations that inform strategic decision-making and drive business growth. The insights team operates as an internal consulting group to supply, manage, and analyze overpayment recovery data for use in assigning actions needed, as well as recommending organizational efficiency improvements across all post-production areas.

Mentoring:

• Provide strategic guidance and mentorship to junior analysts, fostering their professional growth and development.
• Act as a subject matter expert on data analysis techniques, tools, and methodologies, providing guidance and training to colleagues as needed.
• Create and document training materials based on key functionality across the application. Monitor standard operating procedures for revisions.

Data Analysis and Interpretation:

• Utilize advanced analytical techniques to uncover trends, patterns, and correlations within large and diverse data sets.
• Interpret analysis results and translate them into actionable recommendations for business stakeholders.
• Interpret data to identify business trends, conduct root cause analysis of business problems/bottlenecks, or suggest areas for process improvement.
• Design and implement data visualization dashboards and reports to effectively communicate insights to stakeholders at all levels of the organization.
• Conduct deep-dive analysis and root cause investigations to address complex business challenges and opportunities.
• Lead the development and execution of data analysis projects, from data collection to insights generation and presentation.
• Generate actionable insights by synthesizing data analysis findings with industry knowledge and business context.

Market Research and Competitive Analysis:

• Conduct market research to identify industry trends, consumer behavior, and competitive landscape.
• Perform competitive analysis to benchmark against industry peers and identify opportunities for differentiation.
• Stay current with emerging trends and best practices in data analysis, business intelligence, and industry-specific knowledge.
• Lead the evaluation and adoption of new tools, technologies, and methodologies to enhance the efficiency and effectiveness of the analytics function.

Cross-functional Collaboration:

• Collaborate with cross-functional teams including marketing, sales, product development, and finance to understand business objectives and priorities.
• Work closely with business stakeholders to define analytical requirements and tailor insights to meet their needs.
• Collaborate with cross-functional teams to understand business objectives, identify key performance indicators (KPIs), and prioritize analytical initiatives.
• Present findings, recommendations, and insights to senior leadership and key stakeholders in a clear, concise, and compelling manner.
• Solicit requirements and Service Level Agreements (SLAs) from key stakeholders for ad hoc and/or complex reporting requests.

Data Governance and Compliance:

• Adhere to data governance policies and ensure compliance with data privacy regulations and industry standards.
• Safeguard sensitive data and ensure appropriate access controls are in place to protect data integrity and confidentiality.

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.

• Bachelor’s degree in business administration, Economics, Statistics, Mathematics, Computer Science, or related field is required, or an equivalent combination of education and/or relevant experience.
• DP600 and/or DP700 Certification preferred.
• Minimum of 5 years of related experience.
• Proven experience in data analysis, business intelligence, or a related field, with a minimum of 5 years of relevant experience.
• Expertise in data manipulation, statistical analysis, and data visualization techniques.
• Proven Microsoft Fabric experience building Lakehouse or Warehouse solutions, using Data Factory or Dataflow Gen2 to land data from SQL Server into OneLake and feed Power BI strongly preferred.
• Strong T SQL and dimensional data modeling background, including design of star schemas with fact and dimension tables for high volume reporting strongly preferred.
• Strong leadership and mentoring skills, with the ability to effectively guide and support a team of analysts.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
• Demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment.
• Strategic thinking and problem-solving skills, with a focus on driving actionable insights and recommendations that align with business objectives.
• Experience working with large and diverse data sets, including structured and unstructured data sources.
• Knowledge of advanced analytical techniques such as machine learning, predictive modeling, and optimization algorithms is preferred.
• Strong business acumen and understanding of key business processes, drivers, and metrics within the organization or industry.
• Certification in relevant areas such as data analysis, business intelligence, or project management is a plus.
• Experience in a leadership or managerial role is advantageous.

Mental Requirements:

• 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 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 is 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.

Physical Requirements and Working Conditions:

• 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 high-speed internet access/connectivity and office setup and maintenance.
• Must be able to provide a dedicated, secure work area.
• Exposure to moderate noise intensity is expected.
• No adverse environmental conditions are expected.

Base compensation ranges from $75,000 to $90,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

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.

Date of posting: 11/14/2025
Applications are assessed on a rolling basis. We anticipate that the application window will close on 12/14/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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