Workato
Workato~1mo ago

Intern, Analytics Engineer

Data ScienceData EngineerAnalytics EngineerDataData & AI
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Quick Summary

Overview

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.

Key Responsibilities

Design and build dimensional data models and semantic layers for business intelligence. Develop efficient ELT pipelines and transformation workflows using Workato.

Technical Tools
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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 www.workato.com

What We Offer

~2 min read
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
Design and build dimensional data models and semantic layers for business intelligence.
Develop efficient ELT pipelines and transformation workflows using Workato.
Collaborate with internal business stakeholders to understand data pain points and develop solutions.
Optimize analytical workflows to improve productivity through macros and packages.
Develop frontend analytics to support data-driven decision-making.
Drive Data Governance initiatives by suggesting ideas to strengthen processes.
Support operational needs of various business units.
Build and integrate GenAI-powered capabilities into existing and future data workflows and agentic systems.

Requirements

~1 min read
  • Currently pursuing a degree in Data Science, Computer Science, Information Systems, Business Analytics, or related field.
  • Ability to commit for at least 6 months.
  • Good understanding of Database concepts such as ERD.
  • Intermediate SQL skills (e.g., Join, CTE, and window functions).
  • Experience in building frontend analytics using Business Intelligence Tools (Tableau, PowerBI, Sigma Computing).
  • Experience with building data pipelines using ELT scripts in any language is a plus.
  • Experience in using data warehouses like Snowflake is a plus.
  • Strong interest in GenAI, agentic workflows, and the intersection of AI and analytics.
  • Experience with Claude Code , Cursor, Codex is a plus.
  • Fast mover, comfortable in a fast-paced environment.
  • Excellent organizational skills and ability to juggle multiple projects.
  • Strong analytical, verbal, and written communication skills.
  • Thoughtful team player, keen learner with a “can do” attitude and growth mindset.

Job Req ID: 2600

Location & Eligibility

Where is the job
Singapore
On-site within the country
Who can apply
SG
Listed under
Singapore

Listing Details

First seen
March 26, 2026
Last seen
May 8, 2026

Posting Health

Days active
43
Repost count
0
Trust Level
31%
Scored at
May 9, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Workato
Workato
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Our founding team helped build some of the earliest integration platforms. Now they have reimagined Integration and Automation to enable companies to tap into the growth mindset and transform their organization with Workato.

Employees
750
Founded
2013
View company profile
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WorkatoIntern, Analytics Engineer