Overview:
The Junior Analyst will play a vital role in supporting various analytical projects and initiatives across different departments within the business unit. Junior Insight Analysts contribute to the organization's success by providing valuable insights 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.
This position offers an excellent opportunity for professional growth and development in a dynamic and fast-paced environment.
Responsibilities:
Data Collection and Management:
-
Gather data from various sources including internal databases, external sources, surveys, and market research.
-
Ensure data quality and integrity by conducting data validation, cleaning, and preprocessing tasks.
-
Assist in collecting, organizing, and analyzing data to identify trends, patterns, and insights.
-
Conduct research and gather information from internal and external sources to support decision-making processes.
-
Assist in the development and implementation of analytical models and tools to optimize business processes and performance.
-
Contribute to continuously improving data quality and integrity through data validation, cleansing, and documentation.
Data Analysis and Interpretation:
-
Utilize statistical techniques and analytical tools to analyze large datasets and extract meaningful insights.
-
Identify trends, patterns, correlations, and anomalies within the data to provide valuable insights.
-
Interpret analysis results and translate them into actionable recommendations for business stakeholders.
Insights Generation:
-
Generate actionable insights by synthesizing data analysis findings with industry knowledge and business context.
-
Provide recommendations to optimize business processes, improve performance, and capitalize on opportunities identified through data analysis.
Planning Support:
-
Support planning initiatives by providing data-driven insights and recommendations for long-term business strategies.
-
Conduct scenario analysis and predictive modeling to assess the potential impact of strategic decisions on business outcomes.
-
Support the preparation and presentation of reports, presentations, and dashboards to communicate findings to stakeholders.
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.
-
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 the requirements of the job change.
Qualifications:
- Bachelor’s degree in Computers, Business, Economics, Finance, Mathematics, Statistics, or a related field is required, or an equivalent combination of education and/or relevant experience.
-
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 in a clear and understandable manner 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.
Cognitive/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 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 in a clear and understandable manner 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.
Working Conditions and Physical Requirements:
-
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.
Base compensation ranges from $27.50 to $30.50 per hour. 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.
This role is based remotely and all interviews will be conducted virtually.
Date of posting: 06/30/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/30/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
