Intern, Business Technology
Summary
Intern in Business Technology at Workato analyzes operational data, builds automation and AI-driven solutions, and manages a high-visibility project to improve enterprise processes.
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an Intern, Business Technology Program Management to join our growing Business Technology Team; this is a rare opportunity to own a high-visibility project from day one and directly shape how our team works. You won't just be crunching numbers, you'll be uncovering hidden patterns in our operational data, building intelligent systems to make sense of it, and turning your findings into solutions leadership will act on.
In this role, You will also be responsible to:
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Partnering with team leads to explore operational data across multiple sub-teams and turn it into something usable
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Classify and categorize data to surface patterns, and build an automated process to maintain it
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Quantify the trends and benchmarks that address the operational questions the business is asking
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Identify and document the underlying drivers of operational load, supported by data evidence
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Propose solutions, including AI-driven and automation-based approaches where appropriate, and define how their success will be measured
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Design and build a live tracker that continues to surface insights beyond the initial analysis
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Manage the work as a program: set milestones, align stakeholders, and document your approach
Requirements
Qualifications / Experience / Technical Skills
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Currently pursuing a degree/masters in Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field
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Strong interest in data, project management, and Agile methodologies
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Experience with Jira, Confluence, or similar project management tools is a plus
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Working knowledge of data analysis and visualization techniques
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Interest in AI and its practical application to real business problems
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Proactive mindset with a passion for continuous improvement
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Working knowledge of data analysis and visualization, and comfort handling large, varied datasets
Soft Skills / Personal Characteristics
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Proactive and comfortable working through ambiguity, with a mindset geared toward continuous improvement
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Strong communicator, able to translate complex findings into clear, actionable insights
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Thinks analytically and grounds recommendations with evidence rather than assumption
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Takes ownership of their work and is genuinely curious about the reasoning behind the data
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Interested in emerging AI tools and how they can be applied in practice
(REQ ID: 2903)