What does a data reviewer do?
A data reviewer is responsible for reviewing data to ensure accuracy, taking corrective measures on any inconsistencies or errors. Although some of their tasks may vary upon their industry or company of employment, it usually includes interpreting data, organizing information, adhering to deadlines and guidelines, producing reports and presentations, and even populating spreadsheets when necessary. In some industries, a data reviewer works with a team in developing strategies to optimize database systems and training new data reviewers.
Data reviewer responsibilities
Here are examples of responsibilities from real data reviewer resumes:
- Manage investigation reports for equipment maintenance and calibration OOS.
- Perform other QA administrative duties as prescribed.
- Work according to business priorities, FDA and OSHA regulations.
- Empower; Nugenesis, Totalchrom and Turbochrom, and (LIMS).
- Revise testing specifications, forms, worksheets, protocols and control documents.
- Perform GC and wet chemistry analysis of in-process and finish goods samples.
- Review data enter in the LIMS for require data review and manager review.
- Assist in maintaining document control and quality systems such as CAPA, deviations, trending etc.
- Serve as a key player on the customer reopen team to deliver extensions, reopen cases, and OPM quick fixes.
- Review HPLC and dissolution apparatus calibrations.
- Develop, compile, and/or distribute literature about the benefits, eligibility requirements, and availability of Medicaid programs.
- Reviewed/Abstract electronic and paper charts to obtain specific information relate to the hybrid HEDIS measures per NCQA technical specifications.
- Provide investigative support and maintain correspondence with OPM investigators and supervisors to ensure accuracy and expedience of case completion.
- Participate in meetings with inter agencies and other entities as appropriate to facilitate and enhance the Medicaid eligibility determination process.
- Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools.
Data reviewer skills and personality traits
We calculated that 9% of Data Reviewers are proficient in GMP, FDA, and QA. They’re also known for soft skills such as Integrity, Communication skills, and Interpersonal skills.
We break down the percentage of Data Reviewers that have these skills listed on their resume here:
- GMP, 9%
Performed periodic audit of the laboratory to maintain GMP.
- FDA, 8%
Phase 4 Clinical Data Reviewer, provided QA on Case Report forms prior to FDA submission.
- QA, 6%
Verified / QA'ed data decisions made by both international indexing contractors and automated computer algorithms.
- Data Entry, 6%
Facilitated payroll operations consisting of gathering information, data entry, review and distribution.
- HPLC, 6%
Worked as a team member, reviewing and compiling GC and HPLC data.
- QC, 6%
Prepare clear, concise QC Review Reports with corrective actions for the Regulatory Compliance Manager and Study Director.
Common skills that a data reviewer uses to do their job include "gmp," "fda," and "qa." You can find details on the most important data reviewer responsibilities below.
Integrity. To carry out their duties, the most important skill for a data reviewer to have is integrity. Their role and responsibilities require that "information clerks, particularly human resources assistants, have access to confidential information." Data reviewers often use integrity in their day-to-day job, as shown by this real resume: "perform data quality review and verification for scanned images project research and verify location coordinates for data integrity project"
Communication skills. Another essential skill to perform data reviewer duties is communication skills. Data reviewers responsibilities require that "information clerks must be able to explain policies and procedures clearly to customers and the public." Data reviewers also use communication skills in their role according to a real resume snippet: "acquired excellent customer service and written communication skills. "
Interpersonal skills. Another skill that relates to the job responsibilities of data reviewers is interpersonal skills. This skill is critical to many everyday data reviewer duties, as "information clerks who work with the public and customers must understand and communicate information effectively to establish positive relationships." This example from a resume shows how this skill is used: "possess strong customer/goal orientation, and excellent interpersonal, communication and pc skills. "
Organizational skills. data reviewer responsibilities often require "organizational skills." The duties that rely on this skill are shown by the fact that "information clerks must be able to retrieve files and other important information quickly and efficiently." This resume example shows what data reviewers do with organizational skills on a typical day: "demonstrate exceptional customer service and organizational skills due to high volume of accounts. "
The three companies that hire the most data reviewers are:
- Biogen12 data reviewers jobs
- Eurofins8 data reviewers jobs
- Medpace5 data reviewers jobs
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Compare different data reviewers
Data reviewer vs. Encoder
Data entry associates are a group of professionals using computers and data processing programs to supply information into a database or documentation platform or to transcribe data via phone conversations or recordings. They can multitask effectively with excellent verbal and written communication skills and perform repetitive tasks accurately with excellent attention to detail. Part of their task is to maintain the database by encoding new and updated customer account information by preparing source data for computer entry, compiling, and sorting information. To be effective, typing speed and accuracy must be considered.
There are some key differences in the responsibilities of each position. For example, data reviewer responsibilities require skills like "gmp," "fda," "qa," and "data entry." Meanwhile a typical encoder has skills in areas such as "process checks," "data entry system," "computer system," and "encoders." This difference in skills reveals the differences in what each career does.
Encoders tend to reach lower levels of education than data reviewers. In fact, encoders are 9.0% less likely to graduate with a Master's Degree and 1.4% less likely to have a Doctoral Degree.Data reviewer vs. Key operator
A data entry assistant is responsible for performing data entry procedures, updating customer information, as well as logging business transactions on the company's database accurately and efficiently. Data entry assistants compile and sort documents, escalating incomplete information for verification, and following the business' procedures on disposing and eliminating unnecessary data. They also provide administrative and clerical support on office operations, including assisting visitors on their needs or directing them to the appropriate personnel for their concerns. A data entry assistant maintains a safe and secured database and immediately call for support in case of unauthorized access and system inconsistencies.
Each career also uses different skills, according to real data reviewer resumes. While data reviewer responsibilities can utilize skills like "gmp," "fda," "qa," and "hplc," key operators use skills like "xerox," "photoshop," "computer system," and "delphi."
Average education levels between the two professions vary. Key operators tend to reach lower levels of education than data reviewers. In fact, they're 7.3% less likely to graduate with a Master's Degree and 1.4% less likely to earn a Doctoral Degree.Data reviewer vs. Data entry associate
There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a data reviewer is likely to be skilled in "gmp," "fda," "qa," and "hplc," while a typical data entry associate is skilled in "customer service," "computer database," "computer system," and "payroll."
Data entry associates earn the highest salary when working in the finance industry, where they receive an average salary of $52,978. Comparatively, data reviewers have the highest earning potential in the pharmaceutical industry, with an average salary of $58,688.When it comes to education, data entry associates tend to earn lower degree levels compared to data reviewers. In fact, they're 7.8% less likely to earn a Master's Degree, and 1.3% less likely to graduate with a Doctoral Degree.Data reviewer vs. Data entry assistant
Types of data reviewer
Updated January 8, 2025
