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Internship Opt Cpt Data Analytics Jobs in Indiana

Data Engineer

Indianapolis, IN · Hybrid

$109.40K - $131.40K/yr

Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. ** Our USRM Data & Analytics Engineering (DAE ...

You'll analyze complex datasets - regulatory documents, clinical trial data, submission timelines ... 1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1. Additional Skills ...

... and Data & Analytics leadership. This role focuses on learning healthcare data structures ... internships or academic. * Proficient in Excel and other basic data analysis tools. * Working ...

West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A) office is seeking ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Support integration of vision system outputs with part data and work order systems * Capture and ... Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B ...

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Internship Opt Cpt Data Analytics information

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics, and why are they important?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What types of projects can I expect to work on during an Internship Opt Cpt Data Analytics position?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is an Internship OPT CPT Data Analytics position?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

What job categories do people searching Internship Opt Cpt Data Analytics jobs in Indiana look for? The top searched job categories for Internship Opt Cpt Data Analytics jobs in Indiana are:
What cities in Indiana are hiring for Internship Opt Cpt Data Analytics jobs? Cities in Indiana with the most Internship Opt Cpt Data Analytics job openings:
Infographic showing various Internship Opt Cpt Data Analytics job openings in Indiana as of May 2026, with employment types broken down into 19% Full Time, and 81% Part Time. Highlights an 41% Physical, 13% Hybrid, and 46% Remote job distribution.
Data Engineer

Data Engineer

Liberty Mutual

Indianapolis, IN • Hybrid

$109.40K - $131.40K/yr

Full-time

Posted 13 days ago


Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

46th of 259 rated insurance


Job description

Description

Data Governance Platform Engineer

Description

At Liberty Mutual, technology isn't just a part of our business, it's what drives us forward. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as an Agile team within a Fortune 100 company, we are on the front edge of an IT transformation for how people work and deliver solutions.

This is a hybrid role requiring 2 days in the office a week in the following locations: Plano, Indianapolis, Portsmouth, and Boston

**You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply. **

Our USRM Data & Analytics Engineering (DAE) team is looking for talented and motivated Data Engineer(s) to join our Data Governance Platform Engineering (DGP) team. In this pivotal role, you will work closely with other engineers, architects, and product partners to design, build, and evolve our enterprise data governance platforms. You will enable secure, high-quality, and well-managed data to power insights, analytics, and innovation across Liberty Mutual.The USRM Data & Analytics Engineering organization is partnering with our Data Office to modernize how enterprise data is governed, secured, and enabled for analytics at scale. Our Data Governance Platform Engineering team builds the foundational capabilities that power secure data access, policy enforcement, metadata management, data protection, and automation across Liberty Mutual's cloud data ecosystem. This is an opportunity to work on highly visible, enterprise-scale platforms that directly influence how data is consumed, protected, and trusted across the organization.

This role is ideal for engineers who enjoy solving complex platform and data security challenges, building scalable automation, and partnering across engineering, architecture, governance, and business teams to deliver modern data capabilities. 

Key Responsibilities:

Collaborate within a dynamic, high-performing agile team of engineers, scrum masters, and product owners to develop, enhance, and scale modern data governance platforms.

Apply your expertise in data governance, cloud infrastructure, and automation to build resilient, observable, and secure data solutions (e.g., monitoring, orchestration, load auditing, data security).

Leverage modern technology stacks (e.g., AWS, Java, coding agents) to build automation and repeatable data patterns that accelerate delivery and improve platform reliability.

Design and implement platform components to enable the secure ingestion, curation, classification, and provisioning of complex enterprise data for analytics and data science.

Analyze sophisticated data and technical problems, crafting innovative solutions that exceed customer and business expectations.

Handle end-to-end development, including coding, testing, and debugging during each cycle.

Ensure the robustness and quality of your solutions by developing comprehensive automated tests (unit, integration, regression) and applying best practices in code quality.

Mentor and guide junior team members, fostering a culture of growth, knowledge sharing, and continuous improvement.

Champion agile methodologies, collaborating across teams, and advocating for iterative improvement and a growth mindset.

Why Join Us?

Make a direct impact on the security, quality, and discoverability of Liberty Mutual's most critical data assets.

Be part of an innovative team shaping data governance and analytics.

Enjoy a collaborative, fast-paced, and supportive work environment with opportunities for professional growth and leadership.

Advance your skills working with modern cloud, data, and automation technologies.

Preferred Qualifications:

Platform engineering experience supporting Data Governance capabilities (e.g., data access controls, privacy, discovery, classification, masking).

Experience integrating AI/ML-assisted tools and practices into the SDLC to improve code quality, automate testing and deployment (e.g., AI-powered code review, test generation, CI/CD optimization), and accelerate delivery while maintaining governance and security controls.

Practical experience with AWS core services: CloudFormation, S3, EC2, Lambda, Step Functions, IAM.

Solid foundation in Java, Nodejs and familiarity with Python, JavaScript and/or TypeScript.

Understanding of API design concepts and best practices.

Advanced SQL skills.

Demonstrated problem-solving skills, eagerness to learn, and ability to work through ambiguity.

Team-oriented mindset and a passion for collaboration in a distributed agile environment.

Experience with Snowflake or similar cloud data platforms.

Familiarity with RBAC (Role-Based Access Control) implementation and other data security concepts.

Experience with Informatica/IDMC or other enterprise ETL and governance platforms.

Experience building or supporting enterprise platform services with a focus on scalability, resiliency, observability, and operational supportability.

Knowledge of Kafka and event-driven architecture.

Proficient in CI/CD tooling (e.g., GitHub, GitHub Actions, or comparable tools).

Experience with functional and integration testing in agile environments.

Experience using code quality and testing frameworks (e.g., unit tests, mocking/stubbing).

Experience troubleshooting distributed systems, performance bottlenecks, and enterprise-scale data platform issues.

Qualifications
  • Bachelor`s degree in technical or business discipline or equivalent experience
  • Generally, 3+ years of professional experience
  • Strong oral and written communication skills; presentation skills
  • Proficient in negotiation, facilitation and consensus building skills
  • Proficient in new and emerging technologies
  • Thorough knowledge of the following: IT concepts, strategies and methodologies
  • Business function(s) and of business operations
  • Design and development tools
  • Architectures and technical standards
  • Thorough knowledge of layered systems architectures and layered solutions and designs; understanding of shared data engineering concepts
  • Proficiency in multiple programming languages and tools
  • Understanding of agile data engineering concepts and processes Must be proactive and demonstrate initiative and be a logical thinker
  • Consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements
  • Collaboration, prioritization, and adaptability skills required
About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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Liberty Mutual logo

About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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