Workato

Intern, Business Technology

Singapore · Work style not stated

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerWorkato
LocationSingapore
Work styleWork style not stated
Employer posted2 months ago

About Workato

Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com.

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.

Show full description

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:

Business Insider named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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:

Partnering with team leads to explore operational data across multiple sub-teams and turn it into something usable

Classify and categorize data to surface patterns, and build an automated process to maintain it

Quantify the trends and benchmarks that address the operational questions the business is asking

Identify and document the underlying drivers of operational load, supported by data evidence

Propose solutions, including AI-driven and automation-based approaches where appropriate, and define how their success will be measured

Design and build a live tracker that continues to surface insights beyond the initial analysis

Manage the work as a program: set milestones, align stakeholders, and document your approach

Requirements

Qualifications / Experience / Technical Skills

Currently pursuing a degree/masters in Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field

Strong interest in data, project management, and Agile methodologies

Experience with Jira, Confluence, or similar project management tools is a plus

Working knowledge of data analysis and visualization techniques

Interest in AI and its practical application to real business problems

Proactive mindset with a passion for continuous improvement

Working knowledge of data analysis and visualization, and comfort handling large, varied datasets

Soft Skills / Personal Characteristics

Proactive and comfortable working through ambiguity, with a mindset geared toward continuous improvement

Strong communicator, able to translate complex findings into clear, actionable insights

Thinks analytically and grounds recommendations with evidence rather than assumption

Takes ownership of their work and is genuinely curious about the reasoning behind the data

Interested in emerging AI tools and how they can be applied in practice

(REQ ID: 2903)

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