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Audit Data Analyst - Senior

Huntington Open
Columbus Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Huntington. Columbus · full-time · no salary stated · we estimate $112,500–$164,000 across the United States.

Estimated pay

Huntington has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $164,000
What the middle half of senior data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 758 postings that stated pay, median $137,300. Last updated Nov 13, 2026.
RoleData Analysis & BI
SenioritySenior
LocationColumbus
EmploymentFull-time
PostedOct 22, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn audit objectives, risks, processes and controls into data-based tests with audit teams
  • Gather, check and analyze complex datasets, then build populations and procedures to assess controls
  • Use SQL and analytics tools to surface exceptions, unusual patterns and trends tied to audit work
  • Create reusable testing methods and recurring analyses that strengthen audit coverage and consistency
  • Document your methods and conclusions, explain findings to varied audiences, and guide other analysts

What you bring

  • A bachelor’s degree is required
  • At least two years of work in data analytics, audit analytics, technology, risk management or internal audit
  • You can use SQL to examine large datasets and translate business, risk or audit questions into analytical work

Who this fits

This senior role suits an analyst who can work across audit, technology, risk and business teams, and provide technical guidance to colleagues. The stated workplace type is office. Applicants must already have U.S. work authorization; immigration sponsorship is unavailable.

From the employer

Description

Audit Data Analyst - Senior

Job Description

Huntington Bank is seeking a Senior Audit Data Analyst to join the Internal Audit Data Analytics team. In this role, you will use data analytics and technology to support audit testing, evaluate risks and controls, and provide data-driven insights across the organization.

You will partner with audit teams, business units, and technology partners to understand audit objectives, identify and evaluate relevant data, and develop analytical solutions that improve audit coverage and effectiveness. This position requires strong analytical and technical skills, an understanding of business and risk concepts, and the ability to translate complex data into clear, actionable information.

Job Responsibilities

  • Partner with audit teams to understand audit objectives, risks, processes, and controls and translate them into effective data-driven testing approaches.
  • Obtain, analyze, and validate large and complex datasets used to support audit engagements.
  • Develop testing populations and analytical procedures to evaluate risks and the effectiveness of internal controls.
  • Use SQL and other analytics tools to identify exceptions, anomalies, patterns, trends, and other insights relevant to audit objectives.
  • Develop repeatable and reusable analytical solutions that improve the efficiency and consistency of audit testing.
  • Support continuous auditing activities through recurring population analysis, exception identification, trend analysis, and reporting.
  • Evaluate data completeness, accuracy, transformation logic, and fitness for audit purposes and clearly document the work performed.
  • Identify opportunities to appropriately use automation, artificial intelligence, and emerging analytics capabilities to improve audit effectiveness and efficiency.
  • Clearly document analytical methodology, testing logic, assumptions, results, and conclusions in accordance with departmental standards.
  • Communicate analytical findings and complex technical concepts clearly to both technical and nontechnical audiences.
  • Collaborate with colleagues across Internal Audit and with Technology, Risk, Compliance, Finance, and business partners.
  • Provide technical guidance and knowledge sharing to other analysts and audit team members.
  • Contribute to the development and improvement of analytics standards, reusable code, methodologies, and testing libraries.
  • Stay current with developments in data analytics, automation, artificial intelligence, visualization, and audit technology.

Basic Qualifications

  • Bachelor's degree.
  • 2+ years of experience in data analytics, audit analytics, technology, risk management, internal audit,

Preferred Qualifications

  • Demonstrated experience using SQL to analyze large and complex datasets.
  • Experience translating business, risk, or audit objectives into data-driven analytical solutions.
  • Experience performing data validation, analytical testing, or population-based analysis.
  • Strong analytical, critical-thinking, and problem-solving skills.
  • Strong written and verbal communication skills, including the ability to explain analytical results to nontechnical audiences.
  • Ability to manage multiple priorities and deliver high-quality work both independently and collaboratively.
  • Degree or advanced coursework in Business Analytics, Data Analytics, Data Science, Computer Science, Management Information Systems, Accounting, Finance, or a related discipline.
  • Experience working in Internal Audit, Risk Management, Compliance, banking, financial services, or another highly regulated industry.
  • Experience developing population-based, exception-based, or continuous analytics.
  • Experience with Python or another data analysis or scripting language.
  • Experience with business intelligence and visualization tools such as Tableau.
  • Experience with automation, artificial intelligence, or emerging analytics technologies.
  • Experience designing repeatable or reusable analytical solutions.
  • Understanding of data quality, lineage, governance, and validation concepts.
  • Knowledge of banking processes, risks, regulations, and regulatory expectations.
  • Experience working directly with business and technology stakeholders on analytical initiatives.
  • Intellectual curiosity and demonstrated ability to learn and apply new technologies and analytical techniques.


Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington will not sponsor applicants for this position for immigration benefits, including but not limited to assisting with obtaining work permission for F-1 students, H-1B professionals, O-1 workers, TN workers, E-3 workers, among other immigration statuses. Applicants must be currently authorized to work in the United States on a full-time basis.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.