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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 ...

Salesforce

ES Data Ops Strategist

Indianapolis, IN · On-site

$106K - $137K/yr

... validation, monitoring, and automated testing setups (e.g., dbt tests or custom Python validation scripts) • Strong SQL and Python proficiency for automated workflows and data transformations • ...

New

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 ...

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 ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources * Evaluate current work processes to ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN

Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources * Evaluate current work processes to ...

E*Pro, Inc.

Data Steward

Indianapolis, IN

$60K - $75K/yr

The Data Steward focuses on improving data integrity of experience and relationship data through efficient mining, researching, validating and leveraging of internal and external data sources. This ...

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All JobsData Validator JobsData Validator Jobs in Indiana

Data Validator information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do data validator jobs pay per year?

As of Jun 27, 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 the work of data validation?

A data validator reviews and checks data for accuracy, consistency, and completeness to ensure it meets specified standards. This process often involves using tools like spreadsheets or data validation software and requires attention to detail to prevent errors in data entry or processing.

What qualifications do I need to be a data analyst?

To become a data analyst, you typically need a bachelor's degree in fields like statistics, mathematics, computer science, or related areas. Proficiency in data analysis tools such as Excel, SQL, and statistical software, along with strong analytical and problem-solving skills, is essential. Certifications like the Microsoft Certified Data Analyst Associate or Google Data Analytics Professional Certificate can enhance job prospects.

How much does a validation specialist make in the US?

A validation specialist in the US typically earns between $50,000 and $80,000 annually, depending on experience, industry, and location. The role often requires attention to detail, knowledge of validation processes, and familiarity with regulatory standards such as GMP or ISO.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications. Overall, it is considered a well-paying role within the data field.

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.

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 most commonly searched types of Data Validator jobs in Indiana? The most popular types of Data Validator jobs in Indiana are:
What are popular job titles related to Data Validator jobs in Indiana? For Data Validator jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Validator jobs in Indiana look for? The top searched job categories for Data Validator jobs in Indiana are:
Data Validator jobs near you

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Posted 4 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
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 quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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