Data Analytics Project Manager

The Huntington National Bank; Columbus (OH); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Wellness program

Life and disability insurance

Retirement savings plan

Paid time off

Paid holidays

Job summary

The Huntington National Bank is seeking a Data Analytics Project Manager for Internal Audit in Columbus, OH. You will drive data-driven audit solutions, partner with audit teams, and develop scalable analytics capabilities across the organization.

You will coach team members, review analytics work, and communicate project status to stakeholders while advancing analytics maturity in Internal Audit, including automation and emerging technologies.

Qualifications

• Bachelor's degree in Business Analytics, Data Analytics, Data Science, Computer Science, MIS, Accounting, Finance, or related field.
• 4+ years of experience in data analytics, audit analytics, technology, risk management, internal audit, or related area.

Responsibilities

• Lead the design, development, execution, and implementation of data analytics solutions supporting audit planning, testing, continuous auditing, and risk identification.
• Partner with audit teams during planning to identify opportunities for full-population testing, exception-based analysis, continuous auditing, automation, and other data-driven audit approaches.
• Develop, maintain, and improve continuous auditing solutions, including recurring population analysis, exception identification, trend analysis, and delivery of testing results.
• Analyze large and complex datasets to identify exceptions, anomalies, patterns, trends, and insights relevant to audit objectives.
• Translate audit objectives, risks, and business problems into practical data and technology solutions.
• Stay current on developments in data analytics, automation, AI, visualization, and audit technology.

Skills

Analytical thinking

Communication

Project management

Stakeholder management

Problem solving

SQL

Python

Data storytelling

Education

Bachelors degree in related discipline

Tools

Tableau

Job description

Description

Data Analytics Project Manager - Internal Audit

Position Summary

We are seeking a highly motivated Data Analytics Project Manager to help advance Internal Audit's use of data, automation, and emerging technology.

The Audit Data Analytics Project Manager will partner with audit teams to design and execute data-driven audit solutions, including population-based testing, exception analysis, continuous auditing, and other advanced analytics approaches. The role will support multiple businesses and functions across the organization and interact regularly with Audit, Compliance, Risk Management, Technology, Finance, and business-area stakeholders.

In addition to delivering individual analytics projects, the Project Manager will help develop repeatable, scalable, and reusable analytics capabilities t hat improve audit coverage, quality, efficiency, and insight.

The position will also provide informal coaching and development to team members, review analytical work and related documentation, communicate project status and results to stakeholders, and contribute to the continued evolution of Internal Audit's analytics capabilities.

Key Responsibilities

• Lead the design, development, execution, and implementation of data analytics solutions supporting audit planning, testing, continuous auditing, and risk identification.
• Partner with audit teams during planning to identify opportunities for full-population testing, exception-based analysis, continuous auditing, automation, and other data-driven audit approaches.
• Develop and enhance reusable and scalable analytics solutions, reducing reliance on one-time analysis and improving consistency across audit engagements.
• Develop, maintain, and improve continuous auditing solutions, including recurring population analysis, exception identification, trend analysis, and delivery of testing results.
• Apply appropriate techniques to evaluate data completeness, accuracy, lineage, transformation logic, and fitness for audit purposes and document analytics work to support audit reliance.
• Translate audit objectives, risks, and business problems into practical data and technology solutions.
• Analyze large and complex datasets to identify exceptions, anomalies, patterns, trends, and other insights relevant to audit objectives.
• Identify opportunities to appropriately use automation, artificial intelligence, and emerging analytics capabilities to improve audit effectiveness and efficiency.
• Ensure analytics activities and supporting documentation meet departmental and professional standards and established timelines.
• Review analytical work performed by others and provide coaching, technical guidance, and quality review.
• Build strong relationships with Audit, Technology, Risk, Compliance, Finance, and business partners.
• Stay current on developments in data analytics, automation, AI, visualization, and audit technology and evaluate practical applications within Internal Audit.

Basic Qualifications

• Bachelor's degree in Business Analytics, Data Analytics, Data Science, Computer Science, Management Information Systems, Accounting, Finance, or related discipline
• 4+ years of experience in data analytics, audit analytics, technology, risk management, internal audit, or a related field

Preferred Qualifications

• Experience translating business, risk, or audit objectives into data-driven solutions
• Experience performing or supporting data validation, analytical testing, or population-based analysis
• Strong analytical, critical-thinking, problem-solving, and communication skills
• Demonstrated experience using SQL to analyze large and complex datasets
• 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 other data analysis/scripting languages
• 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
• Strong project management and stakeholder-management skills
• Ability to clearly communicate complex analytical concepts to nontechnical audiences
• Ability to manage multiple priorities and operate effectively both independently and collaboratively
• Strong curiosity and demonstrated ability to learn 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.

Compensation Range

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

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