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Data Integrity Manager Jobs in Indiana (NOW HIRING)

Work closely with data entry teams and other analysts and stakeholders to ensure data integrity ... Knowledge of database management and ETL (Extract, Transform, Load) processes. Familiarity with ...

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Data Miner

Evansville, IN ยท On-site

$50K - $60K/yr

Research natural gas legacy and contemporary documentation, determine document quality and completeness, compile data, create final workbooks for GIS entry. Assist Integrity Management Engineers with ...

... data integrity. โ€ข Perform data analysis to identify trends, patterns, and correlations. โ€ข ... database management and ETL (Extract, Transform, Load) processes. โ€ข Familiarity with cloud ...

Data Engineer

Jeffersonville, IN ยท On-site

$109K - $131K/yr

... management of Crescent's data pipelines, enabling reliable analytics and downstream business ... integrity issues. * Technical Mentorship & Leadership: Provide indirect leadership, coaching, and ...

New

Data Engineer

Noblesville, IN ยท On-site

$107K - $129K/yr

... management of Crescent's data pipelines, enabling reliable analytics and downstream business ... integrity issues. * Technical Mentorship & Leadership: Provide indirect leadership, coaching, and ...

New

... Integrity, Accountability, Respect for All, Do What's Right, Commitment to Lifelong Learning ... Enable revenue growth, operational efficiency, risk management, customer insights, and executive ...

DIRECTOR, ENTERPRISE DATA

Fort Wayne, IN ยท On-site

$140 - $190/hr

... Integrity, Accountability, Respect for All, Do What's Right, Commitment to Lifelong Learning ... Enable revenue growth, operational efficiency, risk management, customer insights, and executive ...

Cost Manager

Kingsbury, IN ยท On-site

$80 - $110/hr

The Cost Manager oversees the development and maintenance of cost reports, analyzes trends, and ... Maintaining data integrity and system accuracy * Supporting contract and commercial analysis to ...

Showing results 21-40

Data Integrity Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data integrity manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data integrity manager in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a data integrity manager?

Data Integrity Managers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They oversee data governance policies, implement quality control measures, and work closely with IT and business teams to maintain compliance with regulations and standards. Their role is crucial in industries where data accuracy impacts decision-making, regulatory compliance, and operational efficiency.

What are the key skills and qualifications needed to thrive as a data integrity manager?

To thrive as a Data Integrity Manager, you need expertise in data management, quality assurance, and compliance, often supported by a degree in information systems or related fields. Familiarity with database management systems (DBMS), data governance tools, and certifications like CDMP or DAMA are typically required. Strong attention to detail, analytical thinking, and effective communication help you proactively address data issues and collaborate across departments. These skills ensure accurate, reliable data that supports business decisions and regulatory compliance.

What are some common challenges faced by data integrity managers, and how can they be addressed?

Data Integrity Managers often encounter challenges such as ensuring data accuracy across multiple systems, managing data governance policies, and addressing data quality issues that arise from manual entry or system migrations. These challenges can be addressed by implementing robust data validation processes, fostering a culture of accountability among team members, and working closely with IT and business stakeholders to establish clear data standards. Regular audits and ongoing training can also help maintain high data integrity standards and minimize errors.

What is the difference between Data Integrity Manager vs Data Quality Analyst?

AspectData Integrity ManagerData Quality Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Data Science, IT, or related; certifications like CDMP or Six Sigma
Work EnvironmentOversees data management teams, implements data policies, ensures data accuracy and securityAnalyzes data sets, identifies quality issues, recommends improvements
Employer & Industry UsageUsed in industries with strict data compliance needs like finance, healthcare, and techCommon in analytics, business intelligence, and data-driven sectors

The Data Integrity Manager focuses on maintaining the overall accuracy, security, and consistency of data across systems, often managing teams and policies. In contrast, the Data Quality Analyst primarily analyzes data sets to identify and resolve quality issues. Both roles require similar certifications and are vital in data-centric industries, but their core responsibilities differ in scope and focus.

What are popular job titles related to Data Integrity Manager jobs in Indiana?

For Data Integrity Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Integrity Manager jobs in Indiana look for?

The top searched job categories for Data Integrity Manager jobs in Indiana are:

What cities in Indiana are hiring for Data Integrity Manager jobs?

Cities in Indiana with the most Data Integrity Manager job openings:

Infographic showing various Data Integrity Manager job openings in Indiana as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

Data Analyst

STI

Indianapolis, IN โ€ข On-site

Full-time

Re-posted 13 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.