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Audit Data Analytics Jobs in Ohio (NOW HIRING)

... 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 ...

... 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 ...

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 ...

Internal Audit Manager

Mason, OH · Hybrid

$95K - $126K/yr

Leverage data analytics, automation, AI-enabled tools, and GRC platforms, where appropriate, to improve audit efficiency, insight generation, reporting quality, and overall value delivery, while ...

Internal Audit Manager

Seven Hills, OH · Hybrid

$97K - $129K/yr

Leverage data analytics, automation, AI-enabled tools, and GRC platforms, where appropriate, to improve audit efficiency, insight generation, reporting quality, and overall value delivery, while ...

Internal Audit Manager

Independence, OH · Hybrid

$99K - $131K/yr

Leverage data analytics, automation, AI-enabled tools, and GRC platforms, where appropriate, to improve audit efficiency, insight generation, reporting quality, and overall value delivery, while ...

Internal Audit Manager

Mason, OH · Hybrid

$95K - $126K/yr

Leverage data analytics, automation, AI-enabled tools, and GRC platforms, where appropriate, to improve audit efficiency, insight generation, reporting quality, and overall value delivery, while ...

Showing results 21-40

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 Sep 3, 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.

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.

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 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 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.

Infographic showing various Audit Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $77,499 per year, or $37.3 per hour.

Head of Data & Analytics

AVI Foodsystems

Youngstown, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


AVI Foodsystems rating

6.2

Company rating: 6.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

34th of 68 rated caterers


Job description

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics.

Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

The Mission:
Transform the company’s data from a "back-office cost center" into a "strategic enterprise asset." This leader will oversee the decommissioning of legacy financial systems, the stabilization of the modern Cloud ERP ecosystem, and the orchestration of a unified Data Lakehouse across high-scale engineering and business intelligence platforms.

Executive & Strategic Responsibilities

  • C-Suite Advisory: Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. You will provide the technical clarity needed for executive decision-making and long-term investment planning.

  • Sales & Account Partnership: Act as a "Technical Executive" in the field, supporting Account Executives during high-stakes negotiations with major customers. You will demonstrate the value of the organization’s data maturity and security posture to win and retain key enterprise accounts.

  • Customer-Centric Innovation: Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real-world customer needs.

  • Enterprise Data Model (EDM) Leadership: Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. You will ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.

  • Team Scaling (1 to Many): Lead the evolution of the data organization from its current state to a full-service department. You are responsible for hiring, onboarding, and scaling a high-performing team while fostering a culture of excellence.

  • The "Player-Coach" Approach: Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. You will lead by example, providing hands-on technical guidance while coaching the team toward self-sufficiency.

Ideal Candidate Profile

  • Executive Presence: Proven track record of working alongside C-Suite leaders and presenting to external enterprise-level stakeholders.

  • Experience: 10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer-facing or sales-support capacity is highly preferred.

  • Technical Mastery: Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"—deep enough to review architecture, yet broad enough to lead AI/ML strategy.

  • Leadership Style: A natural Player-Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.

Initial 90-Day Priorities

  1. Strategic Alignment: Meet with the C-Suite and top Account Executives to identify the data points most critical to customer satisfaction and revenue growth.

  1. Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model to identify gaps against industry standards.

  1. Hiring & Capacity Planning: Assess current team capabilities and begin the recruitment process to scale the department.

Benefits:

  • A family culture and atmosphere
  • Competitive compensation
  • Health, dental, vision, and life insurance for full-time team members
  • 401(k) with generous company match
  • Paid vacations and holidays
  • Immense training and growth opportunities

We conduct pre-employment drug testing. EOE

#LI-DP1


    What AVI Foodsystems employees say

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    About AVI Foodsystems

    Sourced by ZipRecruiter

    Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

    Industry

    Food services and drinking places

    Company size

    5,001 - 10,000 Employees

    Headquarters location

    Warren, OH, US

    Year founded

    1960

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