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Data Reviewer Jobs in Indiana (NOW HIRING)

CSpring

Data Analyst

Indianapolis, IN · On-site

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a ... reviews. · Communicate findings, report outputs, and analytical insights clearly to both technical ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Support testing activities, including UAT, validation cycles, and production readiness reviews ... Knowledge of data cleaning, formatting, and transformation techniques. Understanding of basic ...

Haynes International

Data Analytics Manager

Kokomo, IN · On-site

Design, develop, and maintain innovative data analytics and BI solutions to generate operational ... For further information, please review the Know Your Rights notice from the Department of Labor.

Coastal

Data Platform Engineer (Data 360)

Indianapolis, IN · On-site

$109K - $131K/yr

Provide development-level support, code reviews, and best-practice engineering guidance to data engineering and CRM development teams. Experience/Skills Required: * Experience: 3+ years of experience ...

CYNET SYSTEMS

Lead Data Engineer - Data Product

Warsaw, IN · On-site

$55 - $60/hr

Sprint planning, backlog grooming, code reviews for 4+ engineers. Nice to Have: * Kimball/Data Vault modeling. * Healthcare data (Claims, EHR). Benefits Our Benefits Include: * Medical, Dental, and ...

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Showing results 41-60

All JobsData Reviewer JobsData Reviewer Jobs in Indiana

Data Reviewer information

See Indiana salary details

$12

$24

$41

How much do data reviewer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data reviewer in Indiana is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $34.52 per hour, depending on experience, location, and employer.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What is a data reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

What are the key skills and qualifications needed to thrive as a data reviewer, and why are they important?

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

How does a data reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.
More about Data Reviewer jobs
What are the most commonly searched types of Data Reviewer jobs in Indiana? The most popular types of Data Reviewer jobs in Indiana are:
What are popular job titles related to Data Reviewer jobs in Indiana? For Data Reviewer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Indiana look for? The top searched job categories for Data Reviewer jobs in Indiana are:
What cities in Indiana are hiring for Data Reviewer jobs? Cities in Indiana with the most Data Reviewer job openings:
What are popular job titles related to Data Reviewer jobs in IN? For Data Reviewer jobs in IN, the most frequently searched job titles are:
Data Reviewer jobs near you
Infographic showing various Data Reviewer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $51,940 per year, or $25 per hour.

IN-IDOH-Data Analyst

Techmorgonite Software Solutions LLC

Indianapolis, IN • On-site

Contractor

Re-posted 16 days ago

Job description

The incumbent will validate and analyze agency data to garner public health insight for specific agency divisions. The role will include exploratory data analysis, reporting, descriptive statistics, dataset curation, and data visualization.
The Data Analyst validates and analyzes a variety of agency data sources to garner public health insight. The incumbent will produce reports and support data-related activities for the several divisions. In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports.
JOB DUTIES
• Serves as project lead/subject matter expert for specific data sources, as assigned
• Reviews and provides feedback on the work products of other analysts
• Responsible for transferring raw data to the appropriate location for use in data analysis projects
• Wrangles, cleans, and validates agency data sources with minimal guidance
• Conducts general analysis of agency datasets; serves as project lead, as assigned.
• Contributes to complex analysis of agency datasets, as requested
• Conducts data quality checks to ensure the validity and cleanliness of agency datasets prior to their use in analysis and reporting
• Oversee and review projects completed by associate analysts, as requested by senior analyst
• Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical methodologies
• Collaborate with internal and external partners to develop novel ways of using and reporting out data.
• Provide technical assistance to program areas for the creation of reports and grant deliverables
REQUIREMENTS
• Demonstrated experience with data queries and transformations (including cleansing and standardizing) with SQL.
• Demonstrated experience with SAS and either R or Python, including data cleaning, running descriptive statistics and full analyses.
• Working knowledge of epidemiological methods, study design, and analysis needed with an understanding of both qualitative and quantitative data.
• Working knowledge of MS Office Suite including Excel, Word, and PowerPoint.
• Effective time management and program management skills.
• Ability to work in a team environment with multiple and fluid demands.
• Ability to maintain effective and professional working relationships with internal and external customers.
• Ability to research and document findings. Required/Desired Skills   SkillRequired /DesiredAmountof ExperienceExperience analyzing data and reporting relevant results in a professional non-academic setting.Required1YearsAbility to use Microsoft Office Suite (Word, PowerPoint, Excel) independently in a professional settingRequired2YearsExperience using R or Python for data analysis and reporting.Required1YearsExperience using SQL to query a relational databaseRequired1YearsExperience using SAS for data analysis and reporting.Required1YearsExperience using Tableau for data visualizationHighly desired1YearsExperience using Azure Portal.Highly desired1YearsExperience using Microsoft DevOps.Highly desired1Years