NetApp · Bangalore, Karnataka, IN

Business Data Analyst

Bangalore, Karnataka, IN{'@type': 'MonetaryAmount', 'currency': '', 'value': {'@type': 'QuantitativeValue', 'unitText': ''}}Data & Analytics

Listed on NetApp’s official careers site. Posted October 26, 2026. Check that it is still open and apply there.

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Job description

Job Summary

We are seeking Business Data Engineer to design, build, and optimize enterprise data solutions across our Data Warehouse, Data Lake, and Data Science ecosystems. This is a hands-on, customer-focused engineering role where you will own end-to-end data pipelines — from source system analysis and data design through development and deployment — using SnowSQL and Informatica Intelligent Cloud Services (IICS) .You will also contribute to our growing AI/ML initiatives, driving programs from concept to completion.

As a Business Data Analyst you are expected to operate with a high degree of independence, solve complex problems, and collaborate effectively within and across teams.

Job Requirements

Strong technical knowledge across the Data warehouse, Data lake and Data science. Customer focused with good analytical, logical and problem-solving skills. Focused on innovation and technology acumen Strong skill using source system study , data analysis and data design. Strong development using SnowSQL and IICS. Should be ready take up the assignments in AI/ML space and drive the programs to the completion. Should have attained experience and knowledge in solving complex problems.

Should have strong aptitude to learn new technologies. Should be a good team player who collaborates within and outside the team. Qualification 5–8 years of progressive experience in Data Engineering, Data Warehousing, Data Lake, or Data Science domains.Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field; or equivalent practical experience. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees.

This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it.

The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website.

This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

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