Job details

Data Scientist/Product Analyst Intern (Boulder, CO - Summer 2025) - 31227

Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you.Role SummarySplunk is looking for Bachelor's or Master's students to join our team for Summer 2025! As a Data Scientist/Product Analyst Intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like environment.You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.What you'll get to do• Work on a short term project combining data science and product management• Drive visible business impact with concrete goals set by you and your mentor• Learn about Splunk, both the product and the company• Work and socialize with other interns and full-time Splunkers• Collaborate with diverse partners to help them make data driven decisions around how to improve our products• Grow your technical and business skillsMust-have Qualifications• Actively pursuing a Bachelor's or Master's degree in Computer Science, Informatics, Statistics, Data Science, Mathematics or a related technical field, and a strong record of academic achievement.• At least one semester/quarter remaining to complete after the internship• Available to work 40 hours a week for 12 weeksNice-to-have QualificationsWe’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.• You possess superb interpersonal and communication skills• You have strong analytical and problem-solving skills• You are willing to explore open-ended questions and present compelling arguments using data• You know how to use Excel, SQL, and visualization tools such as Tableau• You can apply statistics to real-life business problems• You can articulate a business case and dissect the value proposition of a product• You have previous internship in a related field• Bonus if you can build searches and dashboards in SplunkOur Splunktern Program allows incoming interns the flexibility to choose from three start dates in 2025, currently anticipated to be:• Mon, May 19 - Fri, Aug 8• Mon, June 2 - Fri, Aug 22• Mon, June 16 - Fri, Sept 5Candidates should consider their availability to start on one of these three dates prior to submitting an application. Please note: the dates above are subject to change at Splunk's sole discretion.Splunk is an Equal Opportunity EmployerAt Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

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CEO of Splunk

Gary Steele

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$41 / HOURLY (est.)

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$36

$45

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What You Should Know About Data Scientist/Product Analyst Intern (Boulder, CO - Summer 2025) - 31227, Splunk

Are you a bright and ambitious student looking to kickstart your career in data science and product management? Look no further than Splunk's Data Scientist/Product Analyst Intern position based in beautiful Boulder, CO for Summer 2025! At Splunk, we're all about creating an inclusive and engaging environment where your unique skills and passions shine. As an intern, you'll dive into real-world projects that combine data science with essential product management tasks, giving you hands-on experience that truly makes a difference. Imagine collaborating with diverse teams, receiving mentorship from seasoned professionals, and learning all about our cutting-edge technology that helps organizations secure and optimize their digital landscapes. You’ll work on exciting projects that not only challenge you but also drive tangible results for our customers. Whether it's analyzing data, helping design dashboards in Splunk, or presenting findings to internal stakeholders, this internship is all about empowering you while you elevate your technical and business acumen. But it's not all work and no play—at Splunk, we also pride ourselves on fostering connections, so you'll have plenty of opportunities to socialize and network with fellow interns and talented Splunkers. If you're pursuing a degree in Computer Science, Data Science, or a related field, and are eager to contribute to impactful projects in a supportive environment, we'd love to welcome you to the Splunk family this summer!

Frequently Asked Questions (FAQs) for Data Scientist/Product Analyst Intern (Boulder, CO - Summer 2025) - 31227 Role at Splunk

What are the responsibilities of a Data Scientist/Product Analyst Intern at Splunk?

As a Data Scientist/Product Analyst Intern at Splunk, you will work on exciting projects that merge data science with product management. Your responsibilities include conducting data analysis, collaborating with multi-functional teams, and assisting in making data-driven decisions to enhance our products. You will also set concrete goals with your mentor, ensuring you tackle real business challenges that have a visible impact.