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Data Validator Jobs in Indiana (NOW HIRING)

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 ...

First Financial Bank

Data Analyst I

Terre Haute, IN · On-site

Retrieve, validate, and analyze data from multiple data sources, including but not limited to Snowflake , Google BigQuery , SQL Server , MS Fabric and other structured data sources as required ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN

Collect, analyze, validate, and interpret structured and unstructured data from multiple sources to support operational and strategic initiatives * Develop recurring and ad hoc reports, dashboards ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Develop and execute SQL queries for data analysis, testing, and validation. * Create and maintain documentation including test plans, traceability matrices, work breakdown structures, and change ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

Ensure data quality, validation, and integrity across pipelines Collaboration & Strategy * Partner with BI, analytics, and business teams to support enterprise reporting needs * Contribute to data ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... and validation frameworks using SQL and Teradata (5%). * Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... and validation frameworks using SQL and Teradata (5%). * Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... and validation frameworks using SQL and Teradata (5%). * Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

... and validation frameworks using SQL and Teradata (5%). * Perform/conduct comprehensive root cause analysis for data quality issues and develop/implement solutions or automated preventive controls ...

calumet

Master Data Manager

Indianapolis, IN

The Master Data Manager is responsible for the governance, planning, and execution activities ... validation * Breaking down high-level information into details and abstracting low-level ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossdepartment teams ...

Lasting Change, Inc

Fabric Data Engineer

Fort Wayne, IN · On-site

$104K - $125K/yr

Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards. * Contribute to and adhere to established coding, architecture, and documentation ...

Lasting Change Inc

Fabric Data Engineer

Fort Wayne, IN

$104K - $125K/yr

Conduct testing and validation of data flows to ensure accuracy and compliance with data governance standards. * Contribute to and adhere to established coding, architecture, and documentation ...

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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

Data Analyst

Harrison Steel Castings Co.

Attica, IN • On-site

Full-time

Posted 5 days ago

Job description

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data analytics with process improvement practices to identify opportunities for increased productivity, reduced waste, and improved performance across operations. The position supports a proactive, data-driven approach to decision-making within the organization.
Essential Duties and Responsibilities
  • Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources
  • Evaluate current work processes to determine workflow, time requirements, cost drivers, and production durations
  • Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods
  • Develop and implement strategies and programs to improve productivity, efficiency, and overall operational performance
  • Support process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce waste
  • Assist in determining optimal process settings and operational parameters to improve output and control costs
  • Analyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtime
  • Work with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment life
  • Analyze quality data to identify defect patterns and root causes
  • Instruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniques
  • Facilitate team-based improvement activities to strengthen collaboration and improve results
  • Develop and coordinate programs to recognize and reward employee contributions to process improvement initiatives

Qualifications
  • Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field
  • Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred
  • Working knowledge of manufacturing processes and continuous improvement methodologies

Skills and Competencies
  • Strong analytical and problem-solving skills
  • Ability to interpret data and provide practical, actionable recommendations
  • Effective communication and training skills
  • Strong attention to detail and accuracy
  • Ability to work independently and within cross-functional teams

Language Ability:
Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.
Math Ability:
Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis.
Reasoning Ability:
Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Computer Skills:
Advanced working knowledge of Microsoft Office Suite required.
Certificates and Licenses:
No certifications needed
Supervisory Responsibilities:
This job has no supervisory responsibilities.
Work Environment:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is frequently exposed to work near moving mechanical parts; fumes or airborne particles and toxic or caustic chemicals. The employee is occasionally exposed to wet or humid conditions (non-weather); work in high, precarious places; outdoor weather conditions and vibration.
The noise level in the work environment is usually moderate, occasionally loud or very loud.
Physical Demands:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision, Color Vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is occasionally required to sit; climb or balance and stoop, kneel, crouch, or crawl.

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