At Cotiviti, we are driven by data and committed to transforming information into actionable insights that fuel business growth and innovation. We are looking for a highly motivated and detail-oriented Data Analyst whose passion for data is matched by a desire to make a tangible impact through data mapping and exploration. This role is ideal for someone who excels in working with complex datasets, enjoys the challenge of uncovering meaningful patterns, and thrives in a dynamic environment where priorities can shift quickly based on business needs.

As a Data Analyst on our team, you will be at the forefront of our data integration efforts, playing a critical role in translating diverse client data into standardized global and consumer data formats that align with Cotiviti’s rigorous standards. You will collaborate closely with cross-functional team - including business stakeholders, data engineers, and product managers - to understand project requirements, define transformation rules, and ensure data quality and consistency throughout the mapping process.

• Perform data mapping activities, translating client data into defined global and consumer data standards according to Cotiviti requirements.
• Collaborate with internal stakeholders to analyze, understand, and document data requirements and transformation rules.
• Explore large and complex datasets to identify trends, patterns, and anomalies.
• Quickly pivot and adapt to evolving business needs, delivering insights and solutions in a fast-paced environment.
• Create and maintain clear, detailed data mapping documentation to support ongoing and future projects.
• Communicate findings, challenges, and recommendations effectively to both technical and non-technical team members.
• Host and facilitate discussions with Healthcare data carriers to (1) manage data intake, and (2) ensure all client data requirements are discussed and confirmed.
• Document meeting discussions and obtain sign off from the client and carriers.
• Perform data quality checks verifying that data provided is consistent with the requirements to build Healthcare Data Warehouse.
• Write data transformation specifications to load source data into target data warehouse tables.
• Work with the database programmers to perform quality checks on the reformatted coding; ensure data is complete while and making modifications as necessary to transform the raw data into table layouts.
• Perform data analysis, data mining and identify root cause of issues using SQL.
• Assist the Engineering/Tools team with new business requirements and help them with Functional Specifications.
• Assist in the conversion of internal processes from manual to automated through coding and programming.
• Complete all responsibilities as outlined on annual Performance Plan.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.
• 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. 

• Bachelor’s degree in relevant field such as Health Science, Computer Science, Business, or equivalent experience.
• 2-4 years’ experience with healthcare data analysis. Strong data manipulation skills using database and spreadsheet applications. Knowledge of database applications, including extraction and querying skills.
• 2+ years’ experience within the Healthcare or Insurance space in a Data Warehouse operations organization.
• Strong knowledge of healthcare enrollment, medical claims, and drug claims data required. Additional knowledge of non-traditional data types (health & wellness, workforce productivity, and EMR) preferred.
• Ability to use SQL (TOAD, SQL Tools) and other data tools to analyze diverse data sets.
• Excellent written and verbal communication skills, with the ability to multitask and prioritize projects to meet scheduled deadlines.
• Ability to analyze raw data and disseminate results, with ability to think logically and process sequentially with a high level of detailed accuracy.
• Ability to work well independently or in a team environment.
• Proficient in Microsoft Office Suite, including PowerPoint, Word, Excel, Outlook and Project.

Mental Requirements:

• Communicating with others to exchange information.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

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 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 $63,500 to $88,500.  Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

This role is based remotely, and all interviews will be conducted virtually.

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: 4/12/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 6/12/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

#LI-Remote

#LI-JB1

#LI-analyst