Data Analytics Project Manager

Huntington Bancshares, Inc.; 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 leave

Paid holidays

PTO

Job summary

Huntington Bancshares, Inc. in Columbus, OH is seeking a Data Analytics Project Manager for Internal Audit to lead data-driven audit solutions, including population-based testing, exception analysis, continuous auditing, and other advanced analytics approaches.

You will partner with audit teams to design, develop, and implement analytics that enhance coverage, quality, and efficiency. The role includes coaching teammates, reviewing work, and communicating project status to stakeholders.

Qualifications

• Bachelor’s degree in a related field and 4+ years of experience in data analytics or internal audit.
• Strong analytical, problem-solving, and communication skills.
• Experience translating business objectives into data-driven solutions.

Responsibilities

• Lead design, development, execution, and implementation of data analytics solutions for audit planning, testing, and risk identification.
• Partner with audit teams to identify opportunities for population-based testing, exception analysis, and continuous auditing.
• Develop reusable analytics solutions and improve automation, AI, and visualization capabilities.
• Coach team members, review work, and communicate status to stakeholders.

Skills

Analytical thinking

Communication

Project management

Education

Bachelor's degree in Business Analytics, Data Analytics, Data Science, Computer Science, MIS, Accounting, Finance, or related discipline

Tools

SQL

Python

Tableau

Job description

DescriptionData Analytics Project Manager - Internal AuditPosition SummaryWe 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 ResponsibilitiesThe Audit Data Analytics Project Manager will: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 QualificationsBachelor's degree in Business Analytics, Data Analytics, Data Science, Computer Science, Management Information Systems, Accounting, Finance, or related discipline4+ years of experience in data analytics, audit analytics, technology, risk management, internal audit, or a related fieldPreferred QualificationsExperience translating business, risk, or audit objectives into data-driven solutionsExperience performing or supporting data validation, analytical testing, or population-based analysisStrong analytical, critical-thinking, problem-solving, and communication skillsDemonstrated experience using SQL to analyze large and complex datasetsExperience working in Internal Audit, Risk Management, Compliance, banking, financial services, or another highly regulated industryExperience developing population-based, exception-based, or continuous analyticsExperience with Python or other data analysis/scripting languagesExperience with business intelligence and visualization tools such as TableauExperience with automation, artificial intelligence, or emerging analytics technologiesExperience designing repeatable or reusable analytical solutionsUnderstanding of data quality, lineage, governance, and validation conceptsKnowledge of banking processes, risks, regulations, and regulatory expectationsStrong project management and stakeholder-management skillsAbility to clearly communicate complex analytical concepts to nontechnical audiencesAbility to manage multiple priorities and operate effectively both independently and collaborativelyStrong curiosity and demonstrated ability to learn new technologies and analytical techniques#LI-NG1#LI-OnsiteExempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)YesWorkplace Type:OfficeOur Approach to Office Workplace TypeCertain 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.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.