Data Analyst
Listed on 2026-06-21
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IT/Tech
Data Analyst, Data Engineering, Data Warehousing, Database Administrator
Data Analyst I (US-Remote)
OverviewAt 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 teams – 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.
Responsibilities- 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 manage data intake and 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 making modifications as necessary to transform the raw data into table layouts.
- Perform data analysis and 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 in the 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.
- Bachelor's degree in a 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,…
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