Data Analytics Audit Supervisor

Old National Bank•Minneapolis, MN

1d•$60,000 - $121,300

About The Position

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. We are currently seeking a Data Analytics (DA) Audit Supervisor that will provide support on audit projects as assigned, by leveraging computer programing skills and automation technologies (e.g., SQL, Alteryx, UIPATH, Power BI, Azur, Python/R Programming, Data Science techniques). The candidate will develop new testing methodologies that expand audit testing coverage and/or produce continuous auditing scripts. The DA Audit Supervisor will support risk identification, data acquisition, controls testing, dashboard development and other ad hoc assignments. The candidate will provide customized automated solutions that support Sarbanes-Oxley (SOX) testing, operational audits and assigned administrative tasks. Day-to-day activities will include data extraction from multiple sources, business data transformation, dashboards development, and meetings with audit and non-audit stakeholders. The salary range for this position is $60,000 - $121,300 per year. Final salary will be determined based on factors such as location, experience, skills and qualifications.

Requirements

Bachelor’s degree in a field requiring computer programming, or 5 years minimum experience in data extraction and transformation, with the ability to write in SQL & Python queries.
Proficient in the use of data wrangling and visualization tools such as SQL, Python, UIPATH and Power BI.
Experience working on multiple projects/assignments simultaneously under minimal supervision and completing assigned tasks accurately and on a timely basis.
Must demonstrate strong attention to detail with excellent organization skills.
Excellent communication skills (verbal and written)
Ability to use a Large Language Model such as Copilot (preferred), Gemini, Claude, Llama ChatGPT, etc., to solution a business problem

Nice To Haves

Auditing and bank sector experience is a plus.

Responsibilities

Leverage existing enterprise infrastructure & tools for data storage and computer programming to extract, cleanse, transform, and report on business transactions, in support of audit objectives.
Develop & document quantitative results to support the execution of audit test plans.
Develop trend analysis and other anomalies detection deliverables to support audit planning.
Assist in the digitalization of SOX data acquisition and SOX controls testing.
Create Power BI dashboards as required by audit team members or management.
With limited supervision, develop automated audit solutions using a variety of technologies (e.g., SQL, UIPATH, Alteryx, Python, Power BI)
Ensure timely delivery of automation tasks and execution of continuous auditing scripts.
Coordinate, schedule, and lead requirements gathering sessions and data source discussions with audit team members and external technology stakeholders.
Get involved in various enterprise users group sessions on automation or data analytics.
Coordinate and help assist in the development of DA training material.