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Bank Data Analytics Jobs in Indiana (NOW HIRING)

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

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 ...

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

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 ...

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

... 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+ ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... analytics partner and an advanced technical contributor, building upon the foundational ... Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control. WHAT YOU WILL NEED ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... analytics partner and an advanced technical contributor, building upon the foundational ... Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control. WHAT YOU WILL NEED ...

This position works with other team members as well as bank and FTS personnel. Contacts are ... The expectation of this position is to analyze data with assistance, develop and maintain reports ...

Leverage technology and data analytics to enhance audit efficiency and coverage. * Motivate and ... Monitor changes in banking regulations and industry best practices; update audit programs ...

Digital Relationship Banker

Merrillville, IN · On-site

$22.36 - $26.25/hr

... bank solutions that support their financial goals. This position monitors digital engagement ... Leverage customer data, behavioral insights, and engagement analytics to identify growth ...

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Bank Data Analytics information

How does a Bank Data Analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What does a data analyst do at a bank?

A data analyst at a bank collects, processes, and analyzes financial data to identify trends, support decision-making, and improve operational efficiency. They often use tools like Excel, SQL, and data visualization software, and must have strong analytical skills and understanding of banking operations.

What is data analytics in banking?

Data analytics in banking involves examining large sets of financial data to identify patterns, trends, and insights that support decision-making, risk management, and customer service. Bank data analysts use tools like SQL, Excel, and data visualization software to interpret data and improve operational efficiency and compliance.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a Bank Data Analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

Can a data analyst work in banks?

Yes, data analysts can work in banks, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial concepts.

What is the salary of data analyst in JP Morgan?

A data analyst at JP Morgan typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes bonuses and benefits aligned with industry standards for financial institutions.
Data Analyst, Sr

Data Analyst, Sr

Old National Bank

Evansville, IN • On-site

$60K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

55th of 142 rated banks


Job description

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.


Old National is currently seeking to fill the position of  Data Analyst. We’re 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 – including Line of Business Chief Product, Information and Financial Officers – 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 candidate’s 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

  • Bachelor’s degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics, Master’s 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

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. 

As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. 

We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

Our culture is firmly rooted in our core values.

We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank.  Join our team!



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