Data Analytics Project Manager

Huntington Bancshares, Inc.

Easton (OH)

On-site

USD 80,000 - 110,000

Full time

4 days ago
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Job summary

Huntington Bank is seeking a Senior Audit Data Analyst to join the Internal Audit Data Analytics team. The role focuses on using 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 objectives, identify data, and develop analytical solutions that improve audit coverage and effectiveness.

Qualifications

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

Responsibilities

  • Partner with audit teams to understand objectives and translate them into data-driven testing approaches.
  • Obtain, analyze, and validate large datasets for audit engagements.
  • Develop testing populations and analytical procedures to evaluate risks and controls.
  • Use SQL and analytics tools to identify exceptions and patterns relevant to audit objectives.
  • Develop repeatable analytical solutions to improve audit testing efficiency.
  • Support continuous auditing through population analysis, trend analysis, and reporting.

Skills

SQL
Data analytics
Audit testing
Python

Education

Bachelor's degree

Tools

Tableau

Job 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.

#LI-NG1 #LI-Onsite

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.

Welcome to Huntington!

At Huntington, we look out for people. From reinventing banking with game-changing innovations to building an internal culture that creates lifelong bonds, together, we can make people’s lives better. And amazing things happen when we look out for each other. We prove it every day. Whether it’s helping a colleague or collaborating on a new tool that will revolutionize the way people save money, our actions can have a huge impact. Our colleagues look out for people with a Can-Do Attitude, Service Heart and Forward Thinking. Those are our values—simple but powerful. Each of them pushes us do the right thing, to do right by people. Because people are what matter. If that sounds like you, we hope you’ll apply to join our team.

If you’d like to learn more about how Huntington looks out for people, visit https://www.huntington.com/lookingout

We endeavor to make this site accessible to any and all users.

If you would like to contact us regarding the accessibility of this site or if you require a reasonable accommodation to apply for a job or to perform the essential functions of the job, please send an email to HuntingtonCareers@Huntington.com

Reasonable Accommodations Various methods will be used throughout the recruitment process to verify candidate authenticity.

Any interviews conducted virtually must be joined from a distraction-free environment, with the candidate on camera and without the use of virtual backgrounds.

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