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Data Integrity Jobs in Ohio (NOW HIRING)

Senior Data Analyst

Blue Ash, OH

$82K - $104K/yr

The analyst ensures data integrity across systems and helps drive improvements in patient access, financial outcomes, and operational efficiency. Key Responsibilities Reporting & Analytics * Develop ...

Collaborate with other team members to ensure data integrity. Skills, Knowledge and Expertise * High school diploma or equivalent; additional education is a plus. * Proven experience in data entry or ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

Director Data & Insights

Columbus, OH · On-site

$120 - $160/hr

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

... Integrity & Collaboration Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels Ensure data ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

Data Entry Clerk

Reynoldsburg, OH · On-site

$15.50 - $20.75/hr

You will play a crucial role in ensuring data integrity, organizing files, and supporting various departments with timely information. This role requires a high level of accuracy, speed, and the ...

Showing results 21-40

Data Integrity information

See Ohio salary details

$10

$31

$72

How much do data integrity jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data integrity in Ohio is $31.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.14 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

What are the key skills and qualifications needed to thrive in a data integrity role, and why are they important?

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

What skills do you need to be a data integrity analyst?

A data integrity analyst needs strong analytical skills, attention to detail, and proficiency in data management tools such as SQL and Excel. Knowledge of data governance, quality assurance processes, and basic understanding of database systems are essential for ensuring data accuracy and consistency.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What job categories do people searching Data Integrity jobs in Ohio look for? The top searched job categories for Data Integrity jobs in Ohio are:
Infographic showing various Data Integrity job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $66,332 per year, or $31.9 per hour.

$82K - $104K/yr

Full-time

Re-posted 12 days ago


Job description

Job Address:

10123 Alliance Road, Suite 320 Blue Ash, OH 45242


Job Title: Senior Data Analyst

Company: New Vista Behavioral Health (corporate)

Hours:Full Time, M-F

Position Summary:

The Senior Data Analyst plays a critical role in supporting clinical, operational, financial, and revenue cycle performance across New Vista Behavioral Health facilities. This individual partners closely with leadership, facility teams, billing, and accounting to deliver accurate reporting, actionable insights, and data-driven decision support.

The role requires strong independent execution, with a focus on behavioral health metrics including census, length of stay, payer mix, denials, and reimbursement performance. The analyst ensures data integrity across systems and helps drive improvements in patient access, financial outcomes, and operational efficiency.

Key Responsibilities

Reporting & Analytics

  • Develop, maintain, and distribute daily, weekly, and monthly reports across facilities (census, admissions, discharges, LOS, payer mix, revenue, and productivity)
  • Analyze trends in volume, reimbursement, and operational performance across behavioral health programs
  • Reconcile and validate census and patient movement across EHR, billing, and operational systems
  • Support mid-month forecasting and assist with month-end close and financial reporting
  • Prepare facility-level monthly reporting packages for executive leadership and site operators
  • Translate operational and financial needs into data models, dashboards, and reporting solutions

Revenue Cycle & Financial Support

  • Track and analyze denials across payers, identifying trends and root causes specific to behavioral health services
  • Monitor upfront collections, insurance verification, and authorization performance
  • Support payer mix analysis and reimbursement optimization efforts
  • Assist accounting with reconciliations, reporting tie-outs, and variance analysis
  • Partner with leadership to improve cash flow, reduce denials, and strengthen revenue capture

Operational Support & Collaboration

  • Partner with facility leadership (CEOs, Program Directors, and Business Office teams) to identify operational issues and performance gaps
  • Serve as a liaison between operations, billing, accounting, and external partners to resolve data discrepancies and reporting issues
  • Provide clear, concise insights to both clinical and financial stakeholders to support decision-making
  • Support ad hoc analysis tied to growth initiatives, new programs, or facility performance reviews

Data Management & Strategy

  • Establish and maintain standardized definitions and reporting structures for behavioral health KPIs (census, LOS, payer mix, denial categories, etc.)
  • Support system implementations, integrations, and data migrations (EHR, billing platforms, reporting tools)
  • Ensure data integrity and governance across enterprise systems
  • Collaborate with internal teams and external vendors to enhance analytics capabilities and reporting automation
  • Drive continuous improvement in data quality, accessibility, and reporting efficiency

Qualifications

  • Bachelor's degree in business, Finance, Data Analytics, Healthcare Administration, or related field (or equivalent experience)
  • 2-5+ years of experience in business intelligence, healthcare analytics, or revenue cycle (behavioral health preferred)
  • Strong proficiency in Excel; experience with SQL and BI tools (Power BI, Tableau) preferred
  • Knowledge of behavioral health revenue cycle (authorizations, billing, coding, denials, collections)
  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently in a fast-paced, multi-facility environment

Key Competencies

  • High attention to detail and data accuracy
  • Strong financial and operational acumen
  • Cross-functional collaboration
  • Problem-solving and critical thinking
  • Ownership and accountability

Work Environment

  • Individual contributor role with no direct reports
  • High collaboration with facility leadership, billing, accounting, and corporate teams
  • Fast-paced, multi-site behavioral health environment requiring adaptability and initiative