Position: AI/Data Analyst
Company: NetApp
Location: Bengaluru, India
Job type: Full-time
Job mode: Hybrid
Job requisition id: 135842-en_US
Years of experience: 0-3 years
Company description
NetApp stands at the forefront as a global leader in intelligent data infrastructure, providing organizations with unified storage, integrated data services, and robust solutions designed to maximize their data potential.
As the only enterprise-grade storage service natively embedded across major public cloud providers including Google Cloud, Amazon Web Services (AWS), and Microsoft Azure, NetApp facilitates seamless execution of diverse workloads ranging from legacy systems to advanced corporate artificial intelligence.
The organization fosters an environment dedicated to solving complex data challenges, offering robust infrastructure resilience, dynamic performance, and enterprise-level security across hybrid multicloud operational landscapes worldwide.
NetApp’s corporate philosophy emphasizes innovation, ownership, and collaborative action, continuously encouraging global teams to drive transformative technical outcomes aimed at accelerating modern business growth trajectories.
With a strong focus on empowering enterprise transformations, the company delivers high-impact storage architectures and modern data management tools designed to scale securely within today's fast-moving digital economy.
The organization nurtures high-performing functional teams that value diversity, individual growth, bold creativity, and relentless pursuit of excellence, encouraging employees to directly contribute toward achieving ambitious global milestones.
Profile overview
The AI Analyst position based out of Bengaluru, India, serves as a core functional analytical role within the global Finance department at NetApp.
This dynamic capacity requires candidates to work closely with advanced cloud systems, business finance frameworks, and modern artificial intelligence tooling to evaluate corporate data structures and operational performance metrics.
Candidates filling this role will actively engage with cross-functional global units to derive high-value insights, optimize internal data pathways, and assist leadership with strategic data-driven financial modeling.
The position thrives in NetApp’s modern hybrid working environment, balancing structured in-office collaboration with flexible operational schedules to cultivate high team cohesion and continuous workplace productivity.
Professionals in this position are expected to demonstrate strong creative problem-solving capabilities, taking direct ownership over data analysis pipelines to convert vast raw dataset repositories into meaningful corporate intelligence.
The role empowers individuals to explore intelligent automation opportunities, supporting continuous learning while directly influencing business transformation strategies across various financial and operational business divisions.
Operating at the intersection of enterprise finance and enterprise-grade data architecture, the AI Analyst helps streamline complex internal financial processes through accurate analytical assessments and machine-driven insights.
The incumbent will collaborate with seasoned global professionals, maintaining strict focus on delivering measurable impact, maintaining data integrity, and optimizing decision-making workflows within the broader finance organization.
Candidates should bring a proactive mindset to every project, continuously seeking opportunities to improve internal reporting accuracy, operational scalability, and enterprise cloud data integration efforts.
The role serves as an ideal platform for ambitious functional analysts looking to expand their expertise within a high-growth cloud infrastructure giant while delivering direct value to critical corporate finance initiatives.
Qualifications
Educational background in Finance, Computer Science, Data Analytics, Economics, Statistics, or an equivalent quantitative discipline from a recognized academic institution.
Professional foundation spanning between zero to three years of demonstrated analytical experience, making this an ideal entry-level opportunity for early-career candidates and fresh graduates.
High proficiency in core technical computational skill sets including relational query databases, Python programming, SQL scripting, and advanced financial spreadsheet analytics tools.
Strong baseline familiarity with enterprise artificial intelligence concepts, modern machine learning principles, predictive analytics, statistical analysis, and automated data processing techniques.
Experience in working with large enterprise datasets, carrying out exploratory data analysis, data extraction, structural cleaning, and converting raw metrics into structured reporting formats.
Demonstrated understanding of foundational business finance operations, budget planning analysis, variance metrics, and reporting workflows within large corporate structures.
Proven ability to synthesize quantitative analytical findings into functional executive summaries, strategic visual dashboards, and clear operational insights for non-technical enterprise stakeholders.
Familiarity with enterprise cloud platform ecosystems, including foundational concepts related to Amazon Web Services (AWS), Microsoft Azure, or Google Cloud environments.
Strong written and verbal communication competencies, with a proven ability to present analytical findings clearly across global cross-functional teams and matrixed functional units.
Critical thinking capacity paired with high attention to detail, enabling independent verification of complex computational findings, financial data modeling, and underlying metrics.
Demonstrated enthusiasm for continuous learning, adopting modern digital tools, exploring generative AI workflows, and applying enterprise automation techniques to improve daily productivity.
Capability to operate effectively within a hybrid corporate model, displaying high self-motivation, dynamic task management, and collaborative team focus both remotely and in-person.
Additional info
NetApp maintains a firm commitment to Equal Employment Opportunity (EEO) principles, ensuring fair treatment regardless of age, race, color, gender, national origin, religion, disability, or veteran status.
The recruitment framework incorporates modern administrative, manual, and automated evaluation platforms, including AI-backed tools like Eightfold, to assist human recruiters in evaluating applicant skill sets.
Candidates retaining privacy preferences may explicitly request alternative application evaluation paths directly via dedicated candidate data privacy communication channels without automated tool processing.
NetApp places paramount importance on applicant security, actively educating prospective job seekers to remain vigilant against unauthorized recruitment schemes, phishing attempts, and employment fraud.
To ensure process fairness and systematic evaluation, all candidates must submit their application documentation exclusively through the official NetApp global careers online portal.
Direct outreach via external email channels to corporate recruiters, business executives, or general human resources personnel will not influence or alter official candidate evaluation outcomes.
NetApp offers reasonable workplace accommodations globally to support applicants and employees with physical or mental limitations, adhering to local international disability and employment accessibility laws.
Employees enjoy access to comprehensive career progression frameworks, global mobility prospects, skill elevation initiatives, and robust professional network opportunities across diverse business domains.
The hybrid work model emphasizes built-in flexibility while maintaining critical in-office physical touchpoints designed to strengthen overall team culture, innovation velocity, and organizational identity.
Joining NetApp presents an extraordinary opportunity to work inside a leading technology enterprise driving the future of multicloud management, enterprise AI integration, and global data innovation.
Please click here to apply.
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