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Audit Data Analytics Jobs in Ohio (NOW HIRING)

AVI Foodsystems

Head of Data & Analytics

Akron, OH

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model ...

AVI Foodsystems

Head of Data & Analytics

Warren, OH

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model ...

Owens Corning

Internal Audit Senior Manager

Toledo, OH · On-site

$88K - $121K/yr

Advances the use of data analytics, visualization, and automation (e.g., dashboards, scripts, continuous monitoring) to expand audit coverage and improve team efficiency. * Oversees the processes to ...

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All JobsAudit Data Analytics JobsAudit Data Analytics Jobs in Ohio

Audit Data Analytics information

See Ohio salary details

$31.4K

$77.5K

$133.1K

How much do audit data analytics jobs pay per year?

As of Aug 5, 2026, the average yearly pay for audit data analytics in Ohio is $77,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $91,700.00 per year, depending on experience, location, and employer.

How does an audit data analytics professional typically collaborate with audit teams during an engagement?

Audit Data Analytics professionals work closely with auditors to identify areas where analytics can add value, such as risk assessment, transaction testing, and identifying anomalies. They often participate in planning meetings to understand the audit objectives and design data-driven procedures tailored to each engagement. Throughout the audit, they communicate findings, provide data visualizations, and help interpret analytics results, ensuring that the audit team can make informed decisions. Effective collaboration requires strong communication skills and a thorough understanding of both data analytics tools and audit standards.

What is audit data analytics?

Audit Data Analytics refers to the use of advanced data analysis tools and techniques to enhance the audit process. By analyzing large volumes of financial and operational data, auditors can identify trends, anomalies, and risks more efficiently and accurately. This approach helps audit professionals provide deeper insights, improve audit quality, and make more informed decisions. It also increases efficiency by automating data processing and enabling continuous auditing, rather than relying solely on traditional sampling methods.

What is the difference between Audit Data Analytics vs Data Analyst?

AspectAudit Data AnalyticsData Analyst
CredentialsTypically requires accounting or audit certifications (e.g., CPA, CIA)Requires degrees in statistics, mathematics, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentOften within audit firms, finance departments, or internal audit teamsAcross various industries including finance, marketing, healthcare, and tech
Employer & Industry UsageUsed primarily in finance, banking, and auditing firms for compliance and risk assessmentUsed broadly in business intelligence, marketing, operations, and data-driven decision making

While both roles involve analyzing data, Audit Data Analytics focuses on auditing, compliance, and risk assessment within financial and audit contexts. Data Analysts have a broader scope, working across industries to interpret data for strategic insights. Understanding these differences helps in choosing the right career path or job focus.

What are the key skills and qualifications needed to thrive as an audit data analytics professional, and why are they important?

To thrive as an Audit Data Analytics professional, you need strong analytical abilities, a solid understanding of auditing principles, and experience with data analysis, typically supported by a degree in accounting, finance, or information systems. Proficiency with tools such as Excel, SQL, Python, and data visualization platforms like Tableau, as well as relevant certifications like CISA or CPA, is highly valuable. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills and qualifications are important because they enable professionals to deliver accurate insights, enhance audit quality, and support risk-based decision-making.
What are popular job titles related to Audit Data Analytics jobs in Ohio? For Audit Data Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Audit Data Analytics jobs in Ohio look for? The top searched job categories for Audit Data Analytics jobs in Ohio are:
Audit Data Analytics jobs near you
Infographic showing various Audit Data Analytics job openings in Ohio as of July 2026, with employment types broken down into 75% Full Time, 6% Part Time, and 19% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $77,499 per year, or $37.3 per hour.

Physical Security Systems Audit & Data Analyst

Blue Star Partners

Columbus, OH • On-site

$35 - $55/hr

Contractor

Re-posted 17 days ago

Job description

Job Title: Physical Security Systems Audit & Data Analyst
Location: Columbus, OH (Hybrid: 3 times a week Tuesday - Thursday)
Duration: 1-Year Contract-to-Hire
Rate: $35 - $55/hr (W2)
Work Authorization: Must be authorized to work in the United States now and in the future without the need for employment-based visa sponsorship. Sponsorship is not available for this position.
Position Overview
We are seeking a Physical Security Systems Audit & Data Analyst to ensure the accuracy, integrity, and ongoing quality of physical security systems and related data across the enterprise. This role is responsible for auditing physical security platforms, validating data consistency, identifying discrepancies, and supporting long-term system reliability.
This position is ideal for someone with a strong audit, assurance, or data validation background who is highly detail-oriented and enjoys identifying anomalies, reconciling data, and improving system quality. The role is not focused on regulatory compliance, but rather on ensuring physical security systems are configured correctly, data is accurate, and records are clean and defensible.
The analyst will partner closely with Physical Security Engineering, Cybersecurity, IT, Facilities, and vendors to support a mature and well-governed physical security environment.
Technologies Utilized
  • SiteOwl
  • CCure
  • Avigilon
  • SureView
  • Microsoft Excel
  • Microsoft Office Suite (Word, Outlook, PowerPoint)

Required Qualifications
  • 4+ years of experience in audit, assurance, data validation, risk analysis, or control testing
  • Strong analytical skills with experience reviewing large and complex datasets
  • Demonstrated ability to identify inconsistencies, anomalies, and data quality issues
  • Exceptional attention to detail and accuracy
  • Experience working in structured, process-driven environments
  • Ability to manage multiple review efforts simultaneously without sacrificing quality
  • Strong documentation skills with the ability to clearly record findings, recommendations, and outcomes
  • Advanced proficiency with Microsoft Excel and strong working knowledge of Word, Outlook, and PowerPoint
  • Strong problem-solving and troubleshooting skills
  • Clear and effective written and verbal communication skills

Preferred Qualifications
  • Background in corporate tax audit, internal audit, financial audit, or assurance functions
  • Experience performing reconciliations between systems, applications, or databases
  • Familiarity with physical security systems, access control concepts, or cybersecurity fundamentals
  • Experience working with technologies such as SiteOwl, CCure, Avigilon, or SureView
  • Exposure to IT systems, identity/access management, or operational monitoring environments

Key Responsibilities
System Audits & Data Validation
  • Perform detailed audits of physical security systems including access control, video management, and alarm platforms
  • Validate data accuracy and completeness across multiple physical security tools and systems of record
  • Reconcile users, permissions, devices, alarms, and configuration data between upstream and downstream systems
  • Identify discrepancies, misconfigurations, orphaned records, outdated entries, and systemic data issues

Data Integrity & Governance
  • Ensure physical security systems remain clean, consistent, and trustworthy through recurring review and validation
  • Verify that system configurations and data align with established internal standards and approved designs
  • Track and document findings, corrections, and validation outcomes to support long-term system reliability

Issue Analysis & Remediation Support
  • Analyze root causes of data inconsistencies and recurring errors
  • Work with Physical Security Engineering, Cybersecurity, IT, Facilities, and vendors to resolve identified issues
  • Confirm corrective actions are accurately implemented and sustained over time

Process & Quality Improvement
  • Identify patterns, trends, and systemic weaknesses in system data or configurations
  • Support improvements to processes that reduce manual error, improve repeatability, and enhance auditability
  • Help develop structured review routines, validation checklists, and standard operating procedures

Reporting & Communication
  • Prepare clear, concise summaries of findings, discrepancies, trends, and corrective actions for internal teams and leadership
  • Translate technical system information into understandable observations and recommendations
  • Communicate issues in a factual, evidence-based manner with clarity and precision

Learning & Technical Development
  • Develop a working knowledge of physical security technologies, system architecture, and data flows through training and hands-on experience
  • Learn how physical security tools integrate with cybersecurity platforms, identity systems, and operational monitoring processes

Key Attributes for Success
  • Meticulous, methodical, and highly detail-oriented
  • Comfortable questioning data, validating assumptions, and investigating inconsistencies
  • Strong sense of ownership for data quality and system accuracy
  • Organized, disciplined, and process-driven
  • Able to work independently while collaborating effectively with technical and business teams
  • Strong curiosity and willingness to learn new technologies and systems

Success in This Role
  • Physical security systems and records remain accurate, clean, and reliable
  • Data discrepancies and configuration issues are identified and resolved proactively
  • Internal teams have greater confidence in the integrity of system data and reporting
  • Processes become more repeatable, auditable, and less prone to error

Apply