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Data Validator Jobs in Indiana (NOW HIRING)

STI

Data Analyst

Indianapolis, IN · On-site

Validate and verify data accuracy, consistency, and completeness across various data sources. Identify and resolve data discrepancies, inconsistencies and errors. Performa routine and ad hoc data ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

Candidate must be local to Indiana location or they must have a local Indiana Address as we need local candidates for this role The Data Analyst validates and analyzes a variety of agency data ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Validate and verify data accuracy, consistency, and completeness across various data sources. * Identify and resolve data discrepancies, inconsistencies and errors. * Perform routine and ad hoc data ...

Group1001

Data & Systems Support Analyst

Zionsville, IN · On-site +1

$120K/yr

SQL or reporting/data analysis skills for data validation and troubleshooting. * Experience supporting system integrations within the P&C insurance environment. Compensation: Our compensation ...

Group1001

Data & Systems Support Analyst

Zionsville, IN · Remote

$120K/yr

SQL or reporting/data analysis skills for data validation and troubleshooting. * Experience supporting system integrations within the P&C insurance environment. Compensation: Our compensation ...

Purdue University

Data Analyst

West Lafayette, IN · On-site

Develop and execute validation plans for new data sets and business intelligence updates * Influence adoption of standards, best practices, and consistent analytical approaches Strategic Partnership ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

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 ...

AaraTechnologies Inc

DATA ENGINEER

Michigan City, IN

$111.30K - $133.60K/yr

Perform data quality checks and validations * Collaborate with BI and analytics teams Required Qualifications * 1 2 years of experience in Data Engineering or related role * Strong SQL skills and ...

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How much do data validator jobs pay per year?

As of May 29, 2026, the average yearly pay for data validator in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is a Data Validator job?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

What are the key skills and qualifications needed to thrive in the Data Validator position, and why are they important?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a Data Validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.
More about Data Validator jobs
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Data Validator jobs near you

Client Services Business Analyst II - Healthcare Data

Precision AQ

Indianapolis, IN • On-site

Other

Posted 6 days ago

Job description

***Unfortunately, the Client Services Business Analyst II - Healthcare Data role is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area, and requires one a day a week in the office.***

Product Solutions, part of Precision AQ, accelerates value realization by enabling data science, leveraging analytics, and innovating with technology to transform the way you connect with customers. Is helping patients get the best medicine important to you? Is enabling healthcare providers to make appropriate treatment decisions important to you? Are you detail oriented and passionate about organization? Are you a clear and confident communicator? Do you thrive within a team and company that is highly collaborative? Your dream job is waiting. If you're a born problem-solver and enjoy when no day is the same - keep reading.

Position Summary: Client Services Business Analyst II - Healthcare Data

We are looking for a highly skilled and collaborative Business Analyst with strong technical expertise and a passion for building trusted partnerships across data, marketing, and cross-functional teams. This role is responsible for developing, organizing, and maintaining complex healthcare data systems while serving as a strategic liaison between technical data work and business-facing clients.

Key Responsibilities:

  • Design, develop, and sustain data systems using SQL/T-SQL and related technologies to support analytic readiness across complex healthcare datasets.
  • Serve as a subject matter expert on client datasets, maintaining full lifecycle documentation and quality assurance protocols for both recurring reports and new implementations
  • Collaborate regularly with marketing clients, project management, client services, and quality assurance teams to align data strategy with business objectives.
  • Effectively communicate technical outcomes into clear, business-relevant insights tailored for marketers, client teams, and executive audiences.
  • Demonstrated ability to triage client requests, set expectations with stakeholders, and execute complex data workflows with minimal supervision.
  • Exceptional organizational and time management skills with the ability to independently manage multiple clients and concurrent development of workstreams.
  • Produce reports and dashboards that highlight key performance indicators, uncover operational insights, and support data-driven decision-making.
  • Support and guide junior analysts, contributing to a culture of analytical excellence and mentorship.

Qualifications & Experience:

  • Bachelor's degree
  • Experience in quantitative and qualitative data analysis required, preferred in a healthcare or pharmaceutical space
  • 3-5 years of experience with SQL Server, data integration, ETL development, and data validation techniques.
  • Strong command of data storytelling and the ability to explain complex logic to diverse audiences.

Technical & Soft Skills:

  • Expertise in SQL, T-SQL, SSIS, and data profiling tools; proficiency with Excel, PowerPoint, PowerBI, Python.
  • Demonstrated ability to work independently across multiple priorities while ensuring quality and accuracy.
  • Adept at fostering relationships, communicating proactively, and collaborating across internal and external teams.
  • Comfortable mentoring and setting quality standards for others in the team.

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