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Audit Data Analytics Jobs in Ohio (NOW HIRING)

... audit processes Develop reports and communicate research and findings Manage multiple ... Experience with Oracle or Teradata database desired Prior experience in a data analytics role ...

Internal Audit - Evergreen

Columbus, OH · On-site +1

$97K - $129K/yr

Our work includes assurance engagements, advisory services, data analytics, and thought leadership ... Internal Audit is also a great place to build a long-term career, with opportunities to grow across ...

Internal Audit - Evergreen

Columbus, OH · On-site +1

$97K - $129K/yr

Our work includes assurance engagements, advisory services, data analytics, and thought leadership ... Internal Audit is also a great place to build a long-term career, with opportunities to grow across ...

Showing results 41-60

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.

Managed Services - Data, Analytics & AI - Manager

Pwc

Columbus, OH • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Services team, you will lead the end-to-end delivery of AI and machine learning services, driving innovation and operational excellence. As a Manager, you will motivate and inspire your team, oversee quality deliverables while fostering meaningful client relationships and navigating complex challenges. This role offers a unique chance to shape the future of AI solutions, collaborate with diverse teams, and enhance your leadership skills in a dynamic environment.
Responsibilities
- Oversee the thorough delivery of AI and machine learning projects
- Inspire and motivate team members to achieve excellence in their work
- Cultivate substantial relationships with clients to understand their needs
- Navigate and resolve complex challenges in project execution
- Collaborate with cross-functional teams to drive innovation
- Confirm quality outputs that meet client expectations
- Utilize data-driven insights to enhance service delivery
- Foster a culture of continuous improvement and learning within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience
What Sets You Apart
- Demonstrating leadership in AI/ML service delivery
- Managing end-to-end AI/ML service operations
- Leading client discussions on AI pipeline operationalization
- Implementing monitoring for AI models in production
- Guiding junior team members in AI systems
- Collaborating with architects and engineers for compliance
- Driving development of reusable AI components
- Leading Data & Analytics project delivery
- Demonstrating experience with ITIL processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK