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Data Reviewer Jobs in Indiana (NOW HIRING)

Review solution designs and deliverables to ensure alignment with documented requirements and business objectives. * Coordinate internally with the Data Operations team to ensure data architecture ...

Data Analyst I

Indianapolis, IN · On-site

$25 - $30/hr

... review profile information, and support waste tracking operations. The role is well suited to ... with large data sets, and able to manage routine tasks with precision and consistency.

New

Data Scientist

Indianapolis, IN · On-site

$36.43/hr

Standardize operational procedures, reviewing code, analyzing, and interpreting datasets, and working with Git for version control * Data analysis (Assist in analysis for evaluation, EDA) * Performs ...

New

Data Analyst

Indianapolis, IN · On-site

$35 - $40/hr

Review solution designs and deliverables to ensure alignment with documented requirements and business objectives * Coordinate with the Data Operations team in ODA to ensure data architecture ...

Review solution designs and deliverables to ensure alignment with documented requirements and business objectives * Coordinate with the Data Operations team in ODA to ensure data architecture ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

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 ...

Data Entry Clerk

Indianapolis, IN · On-site

$22 - $25/hr

This role focuses on reviewing records, looking into database system and organizing this ... This individual will research how data is currently being utilized across the organization ...

Showing results 21-40

Data Reviewer information

See Indiana salary details

$12

$24

$41

How much do data reviewer jobs pay per hour?

As of Jul 24, 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 the Job of 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 Data Reviewers?

Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.

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.

What is a data reviewer's job?

A data reviewer is responsible for examining and validating data for accuracy, completeness, and consistency. They often use tools like spreadsheets or data management software and may follow established guidelines or standards to ensure data quality in various organizational contexts.

What jobs make $1,000,000 a year?

In the field of data review, high-level roles such as Chief Data Officer or senior data executives can earn close to or exceeding $1 million annually, especially in large corporations. These positions typically require extensive experience, advanced skills in data management and analytics, and often involve leadership responsibilities and strategic decision-making.

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.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work with electronic data capture tools and may require knowledge of regulatory standards like GCP and FDA guidelines.

Is 40 too late for data science?

A Data Reviewer role involves analyzing and validating data quality, and transitioning into data science at age 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications or additional training, making age less of a barrier than skill and experience.
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:
Infographic showing various Data Reviewer job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% 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.
Data Analyst

Data Analyst

CSpring

Indianapolis, IN • On-site

Full-time

Posted 10 hours ago


Job description

Description:

At CSpring, we believe in the power of people and data to drive real-world impact. We’re a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work — from data strategy and engineering to workforce transformation — improves lives across Indiana and beyond. We’re seeking talented professionals who are collaborative, curious, and committed to making a difference.


Why You’ll Love Working Here

  • Mission-Driven Work – Support the transformation of rural healthcare across Indiana through a landmark $207M federal investment. Your work will directly strengthen health outcomes for Hoosier communities.
  • People-First Culture – We’re as committed to your growth as we are to delivering high-impact solutions. You’ll find support, autonomy, and community here.
  • Strategic, Hands-On Work – From program coordination and stakeholder engagement to data modernization and clinical readiness, you’ll influence every step of the process.
  • Collaborative Trust – Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You’ll Do

You will serve as the bridge between leadership, teams, and external partners — analyzing, documenting, and validating what the program needs from its data, then building the products that answer it.

  • Create data products for strategic activities covering grant operations, initiative outcomes and metric tracking, fiscal analyses and trends, and support for coordination of the program evaluation vendor.
  • Analyze, document, and validate program operational needs, reporting requirements, and data governance requirements for evaluating outcomes.
  • Facilitate stakeholder discussions, working sessions, and data management related to data sources with internal and external stakeholders.
  • Review solution designs and deliverables to ensure alignment with documented requirements and business objectives.
  • Coordinate internally with the Data Operations team to ensure data architecture, infrastructure, and governance capabilities within the enterprise data warehouse.
  • Prepare documentation, briefings, and reports for leadership, governance bodies, and project teams.
  • Develop timelines, risk registers, and impact summaries for data activities for leadership.
  • Coordinate with internal teams (IT, legal, finance, initiative leads) and external partners (vendors, providers, regional coalitions, and stakeholders) as needed.
  • Balance technical constraints, operational realities, regulatory considerations, and diverse stakeholder needs while maintaining high data quality and governance standards.
  • Support other related Rural Health Transformation activities as requested.

Requirements:
  • Bachelor's degree from an accredited university in public health, health informatics, information systems, or a related field.
  • 3+ years of directly applicable experience in data analysis, informatics, or epidemiology.
  • Demonstrated experience gathering and documenting requirements for complex, multi-stakeholder systems or programs.
  • Experience working cross-collaboratively with internal divisions or external partners.
  • Excellent written and verbal communication skills, including experience working with both technical and non-technical audiences.
  • Experience with analytical tools as well as visualization tools such as Tableau.
  • Proficiency with common productivity and project management tools (Microsoft O365, project management platforms, collaboration tools).
  • Independent judgment and critical thinking — comfort working through ambiguity and evolving requirements with minimal guidance.
Preferred Experience
  • Master's degree in public health, health informatics, or a related field.
  • Familiarity with public health program implementation and evaluation methodologies.
  • Familiarity with conducting scientific research literature reviews.
  • SQL and hands-on experience querying an enterprise data warehouse.
  • Prior experience in a state agency, grant-funded program, or other government environment.
  • Background in rural health, health equity, or Medicaid data.

At CSpring, we unlock the potential of people and data. If you’re ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment — apply today!