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Bank Data Analytics Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN

$108K - $130K/yr

Develop scalable data models for investment reporting, portfolio analytics, and capital markets ... S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding ...

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 ...

Data Engineer

Carmel, IN ยท On-site

$108K - $130K/yr

Develop scalable data models for investment reporting, portfolio analytics, and capital markets ... S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding ...

Knowledge, Skill, and Ability Requirements: ยท Three (3) years or more of banking compliance ... Associate degree in English, Legal, Data Analytics, or similar required. Bachelor's Degree ...

Credit Data Steward

Evansville, IN ยท On-site

$121K/yr

Old National Bank has been serving clients and communities since 1834. With over $70 billion in ... Identify, analyze, prioritize, and remediate data quality issues. * Perform root cause analysis of ...

Credit Data Steward

Evansville, IN ยท On-site

$121K/yr

... or corporate banking data. * Experience supporting regulatory reporting, credit risk analytics, or data governance programs. * Demonstrated experience managing enterprise-wide data quality ...

Collect, clean, and analyze streaming, sales, and marketing performance data across DSPs, physical ... Paid Time Off policy, which includes a separate Sick Days bank * 401K with corporate matching * 12 ...

Collect, clean, and analyze streaming, sales, and marketing performance data across DSPs, physical ... Paid Time Off policy, which includes a separate Sick Days bank * 401K with corporate matching * 12 ...

Collect, clean, and analyze streaming, sales, and marketing performance data across DSPs, physical ... Paid Time Off policy, which includes a separate Sick Days bank * 401K with corporate matching * 12 ...

Collect, clean, and analyze streaming, sales, and marketing performance data across DSPs, physical ... Paid Time Off policy, which includes a separate Sick Days bank * 401K with corporate matching * 12 ...

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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 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.
What job categories do people searching Bank Data Analytics jobs in Indiana look for? The top searched job categories for Bank Data Analytics jobs in Indiana are:

$108K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Job description

Description

Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.


Our Data Engineer will be able to do the following confidently and independently...

  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements


What we are looking for...

  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:

  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few moreย 



About Merchants


Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.

Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here.