Old National is currently seeking to fill the position of Data Analyst. Were building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products. The incumbent should have a flair for building highly usable and consistent business user experiences, and the business mindset to perform detailed analysis to produce genuine business insights that will find and fuel strategic opportunities.

You will work directly with line of business leaders 6 including Line of Business Chief Product, Information and Financial Officers 6 to assess and interpret their reporting needs. You will identify and design reporting solutions based on their requirements. You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to access multiple data sources and design insightful products for our business partners. You will work with various teams, each with unique backgrounds and perspectives, to develop solutions that will have a real impact for the bank and for our customers.

Salary Range

The annual salary range for this position is $60,000 - $121,300. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidates relevant skills and professional experience, educational qualifications, and geographic location.

Key Accountabilities

Fulfill core senior data analytics developer accountabilities:

• Deliver on large data projects by leading planning, execution and completion of projects through peer leadership, cross-functional team collaboration and consensus building with functional and senior stakeholders and implementing logical solutions.
• Build, develop and maintain data models, dashboards, reports, data automation systems, and performance metrics support that support key business decisions
• Proactively evaluate data & data technology trends to guide business partners on emerging opportunities.
• Ensure data accuracy, quality and consistent reporting by designing and creating optimal analytics code with data controls defined as defined within the policy, procedure, and standards
• Tasks and deliverables are often time-sensitive and require a proactive approach to ensure deadlines are consistently met

Develop and implement Power BI Reports:

• Create consistent dashboards, reporting, and analytics experiences for business users
• Elicit and understand business requirements from stakeholders; transform into the BI context and design a data model to transform raw data into meaningful insights
• Convert business requirements into technical specifications and implement them through reports that support decision-making
• Perform DAX queries and functions in Power BI

ETL, data extracts & ad-hoc reporting:

• Partner with business users to derive requirements, identify data sources, wrangle data and/or transform data via SQL and/or SAS to produce file extracts for use within PowerBI Dashboards or distribution to other systems
• Partner closely with data engineering and data movement teams on ETL processes and to develop and enhance databases/schemas/tables and implement data solutions to move data from and to other internal and external systems and vendors
• Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.
• Creating customized diagrams and user-defined calculations as needed
• Design, develop and deploy business intelligence solutions with SQL queries for best results, filters, and graphs to better understand your data at all levels for performance improvements and suggestions

Qualifications and Education Requirements

• Bachelors degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics, Masters degree preferred
• Exceptional analytic ability and problem-solving skills
• 6-10 years experience in banking and finance with a thorough knowledge of the retail bank business line
• Demonstrated ability in data retrieval from multiple databases and systems
• 5+ years experience in developing analytics reports and dashboards, preferably PowerBI
• 5+ years experience working with and creating data extracts
• 5+ years experience programming skills with querying languages: SQL, SAS, R, Python, etc.
• 5+ years experience in Data Visualization
• Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power Apps, Power Automate and Azure services
• Experience with both on-prem SQL server and Azure Databricks cloud data environments
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
• Exceptional written, verbal, and interpersonal communication skills
• Strong project management skills and experience with agile methodologies preferred
• Demonstrated ability to communicate and support data culture change initiatives
• Client-centered approach to working with line of business stakeholders
• Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations
• Working knowledge of common banking core systems and tools (Fiserv Signature, MeridianLink/LoansPQ, Encompass, Velocify, Marquis Executrax MCIF, Salesforce) preferred