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Data Operations Jobs in Indiana (NOW HIRING)

Salesforce

ES Data Ops Strategist

Indianapolis, IN ยท On-site

$106K - $137K/yr

They are seeking a self-driven ES Data Ops Engineer & Strategist to establish and scale data foundations for HR Operations, focusing on building data models, automating quality checks, and ensuring ...

New

Milliman

Sr. Data Engineer

Indianapolis, IN ยท On-site

$98K - $198K/yr

This role is pivotal in managing large-scale data operations with agility and precision. While not mandatory, expertise in Python, a background in healthcare data, and familiarity with Power BI ...

EHOB INC

Operations Data Analyst

Indianapolis, IN ยท On-site +1

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and strategic decision-making through data analysis. This role is responsible for collecting, analyzing ...

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All JobsData Operations JobsData Operations Jobs in Indiana

Data Operations information

See Indiana salary details

$49.5K

$122.3K

$190.3K

How much do data operations jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data operations in Indiana is $122,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $155,600.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, investment bankers, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes significant risk or ownership stakes.

What is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and data quality standards to support analytics and decision-making processes.

Is 30 too late for data science?

Data operations roles often value relevant skills and experience over age, and many professionals transition into data science at various stages of their careers. While some roles may prefer candidates with recent technical training or certifications, age is generally not a barrier if you develop strong analytical, programming, and data management skills. Continuous learning and practical experience can help you succeed regardless of age.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What jobs pay 200,000 a year in the USA?

In data operations, senior roles such as Data Operations Managers, Data Architects, and Data Engineering Directors can earn $200,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, or cloud platforms, and leadership responsibilities. These positions often require a strong understanding of data management, analytics, and sometimes certifications like CDMP or AWS certifications.
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