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Senior Analytics Engineer Jobs in Indiana (NOW HIRING)

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 ...

Senior Analytical Chemist

Fishers, IN · On-site

$113K - $132K/yr

Senior Analytical Chemist| Req ID: 17219 | HR Contact: Elizabeth Bertapelle | Location: Building ... Chemistry, Chemical Engineering, Material Science, or a related field Required Work Experience: 10+ ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Sr. Equipment Engineer

Jeffersonville, IN · On-site

$100K - $137K/yr

Senior Equipment Engineer II Department : US Equipment Entity: USCM Reports To: Senior Principal ... Analyze complex equipment performance data, identify trends, and implement innovative solutions for ...

Sr. Equipment Engineer

Jeffersonville, IN

$100K - $137K/yr

Senior Equipment Engineer II Department : US Equipment Entity: USCM Reports To: Senior Principal ... Analyze complex equipment performance data, identify trends, and implement innovative solutions for ...

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Showing results 1-20

Senior Analytics Engineer information

See Indiana salary details

$56.6K

$120.4K

$174.6K

How much do senior analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior analytics engineer in Indiana is $120,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Indiana? The most popular types of Analytics Engineer jobs in Indiana are:
What are popular job titles related to Senior Analytics Engineer jobs in Indiana? For Senior Analytics Engineer jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Senior Analytics Engineer jobs? Cities in Indiana with the most Senior Analytics Engineer job openings:
Data Analyst, Sr

$60K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 28 days ago


Old National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

51st of 149 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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