Key skills
AIAnalyticsS3LeadershipCommunicationCustomer SuccessSales
About this role
Job Summary
Are you curious about how AI is transforming business? Do you enjoy solving problems, uncovering insights from data, and helping customers achieve meaningful outcomes? As a Customer Success Operations & Strategy Analyst, you'll play a key role in helping NetApp reimagine the future of Customer Success through AI, automation, analytics, and cloud technologies. This is more than an analyst role—it's an opportunity to influence how a global organization delivers value to customers at scale.
As part of the S3 Academy, NetApp's premier early-career development program, you'll gain hands-on experience, mentorship from industry leaders, and exposure to strategic initiatives that shape the future of our business. The S3 Academy is designed to develop the next generation of leaders through a combination of education, experience, and exposure.
What You'll Do
- Explore AI, automation, and cloud technologies that improve customer experiences and drive business outcomes.
- Turn data into insights by analyzing customer trends, adoption metrics, and business performance.
- Build dashboards, reports, and frameworks that help leaders make smarter decisions.
- Collaborate with teams across Customer Success, Product, Engineering, Data Science, and Sales.
- Work on high-impact projects that improve how we engage, support, and grow customer relationships.
- Present recommendations and ideas to stakeholders and business leaders.
What You'll Gain
- Real-world experience driving AI-powered business transformation.
- Exposure to senior leaders and cross-functional teams across NetApp.
- Mentorship, training, and professional development through the S3 Academy.
- Opportunities to develop skills in analytics, strategy, customer success, and emerging technologies.
- A strong foundation for future careers in Customer Success, Operations, Strategy, Product, or Business Leadership.
What We're Looking For
- Bachelor's degree in Business, Analytics, Computer Science, Information Systems, Engineering, Economics, or a related field.
- 0–4 years of professional experience, including internships, co-ops, research, or early-career roles.
- Passion for technology, AI, data, and solving complex business challenges.
- Strong analytical thinking and communication skills.
- Curiosity, adaptability, and a desire to learn and grow.
- Ability to collaborate effectively within diverse, fast-paced teams.
Compensation:
The target salary range for this position is 88,400 - 132,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.