---
title: 'Analytics Engineer at Workato'
canonical: 'https://feeny.ai/job/analytics-engineer-workato-singapore-s0d2y2phk3e4'
type: 'job'
last_seen: '2026-09-19'
---

# Analytics Engineer at Workato

- **Company:** Workato
- **Location:** Singapore
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-09-19
- **Apply:** https://www.workato.com/careers?gh_jid=8612980002#open-roles

## Job description

## 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](https://www.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.

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](http://www.workato.com/careers) 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](https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12) named us an “enterprise startup to bet your career on”

- [Forbes’ Cloud 100](https://www.forbes.com/cloud100/#a57477b5f941) recognized us as one of the top 100 private cloud companies in the world

- [Deloitte Tech Fast 500](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html) ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

- [Quartz](https://qz.com/work/2053446/the-best-companies-for-working-from-home/) ranked us the #1 best company for remote workers

## Responsibilities

As an Analytics Engineer in the Product Management team, you will own the end-to-end delivery of robust, high-quality data products. You will be responsible for designing, developing, maintaining, and scaling mission-critical data models to provide reliable and accessible product usage data, proactively partnering with Data Engineers, Product Analysts, and business stakeholders. Your key mandate is to transform raw data into actionable insights that directly drive strategic product and business decisions, with a continuous focus on technical excellence and platform optimization.

In this role, you will also be responsible to:

- DBT Modeling & Scalability:

- Design, develop, and own scalable and maintainable data models using dbt (Data Build Tool), ensuring accurate, intuitive, and consistent data for all end users and stakeholders.

- Collaborate actively with Data Analysts and Business Stakeholders to translate complex reporting and analysis needs into production-ready, highly optimized dbt models.

- Enforce and evolve our internal dbt conventions and best practices, continuously optimizing the codebase for cleanliness, performance, and cost-efficiency.

- Data Reliability and Quality Assurance:

- Own and enforce data quality and consistency by implementing robust testing, validation, and cleaning processes on mission-critical source tables.

- Implement and manage data monitoring and alerting solutions to ensure data flows and transformations are performing optimally and accurately, and proactively resolve data anomalies and pipeline failures.

- Create and maintain comprehensive data documentation and definitions (data dictionaries, process flows) to ensure data literacy, trust, and discoverability for stakeholders

- Stakeholder Collaboration & Data Enablement:

- Partner with data engineers, product analysts, GTM data teams, and other stakeholders to strategically align data insights with product improvements and business objectives.

- Communicate complex data architecture, patterns, and analytical conclusions effectively to both technical and non-technical audiences, driving consensus and action.

- Act as a data champion, evangelizing and guiding business users on the most efficient and reliable ways to leverage our data products, accelerating their time to insights

- Emerging Technology & Platform Innovation:

- Lead the research and evaluation of new tools and technologies, like GenAI, for enhancing data engineering, orchestration, and analysis workflows.

- Develop and test high-impact prototypes that demonstrate the potential of emerging technologies (e.g., GenAI) to augment and improve our product usage datasets and data platform capabilities.

## Requirements

## Qualifications / Experience / Technical Skills

- 2+ years of experience in an Analytics Engineering or Data Warehousing role.

- Expert proficiency in SQL, including advanced techniques like window functions and proven ability in query performance optimization.

- Demonstrated expertise in dbt (Data Build Tool) for designing, developing, and maintaining complex data models, coupled with strong functional knowledge of a modern cloud data warehouse (e.g., Snowflake, BigQuery).

- Proven ability to apply data engineering best practices, including version control (Git/GitHub), modular coding, and automated testing, to maintain robust and reliable data pipelines.

- Strong understanding of data modeling principles (e.g., star/snowflake schemas, Slowly Changing Dimensions) and how to apply them to solve analytical business problems.

- Proficiency in Python or another scripting language is required.

- Experience with data orchestration tools (e.g., Airflow, Dagster) for building and managing data workflows.

Soft Skills / Personal Characteristics

- Resourceful, results-oriented, and autonomous, with a proven track record of owning the full lifecycle of analytical projects from ambiguous requirements to final delivery and business impact.

- Excellent verbal and written communication and stakeholder management skills, with the ability to translate complex data logic for non-technical audiences and effectively drive cross-functional alignment.

(REQ ID: 2867)

## About Workato

## Company Overview
- **One-liner**: Workato is an enterprise orchestration platform that provides an Integration Platform as a Service (iPaaS) and an Enterprise Model Context Protocol (MCP) to make AI agents secure, scalable, and accurate.
- **Entity Type**: Private (Series E; total funding $525M)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2013
- **Founders**: Vijay Tella (CEO & Co-Founder)

## Core Business
- **Primary industry**: Enterprise automation, integration platform as a service (iPaaS), AI agent orchestration
- **Target customers**: B2B, Enterprise (Fortune 500 companies, SMBs), IT, operations, HR, sales, marketing, finance, and product teams
- **Mission or purpose statement**: “To help enterprises realize the true potential of agents by bringing them from the edge of your business to the core.” [workato.com](https://www.workato.com/)

## Products & Services
- **Workato Enterprise MCP**: A platform purpose-built for agentic AI, offering predictable, scalable, and secure orchestration of AI agents across enterprise systems. [workato.com](https://www.workato.com/)
- **Workato GO**: A new AI super app that allows users to search, act, and orchestrate across the enterprise. [workato.com](https://www.workato.com/) / [linkedin.com](https://www.linkedin.com/company/workato)
- **iPaaS (Integration Platform as a Service)**: The core product that connects applications, data sources, and processes, enabling end-to-end automation for functions such as HR, sales, marketing, finance, support, and product. [workato.com](https://www.workato.com/about_us)

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metrics**: Annual Revenue ~$150M (latest estimate); Total Funding $525M (Series D & E, plus earlier rounds). [linkedin.com](https://www.linkedin.com/company/workato)
- **Notable Investors/Partners**: Battery Ventures (led Series E), Altimeter Capital, Insight Partners (led Series D), Storm Ventures, Digital Industry Singapore. [linkedin.com](https://www.linkedin.com/company/workato)
- **Growth Signals**: Trusted by more than 50% of the Fortune 500; 1,087 employees with +3.1% monthly headcount growth; active job postings increasing +22.9% month-over-month; launched Workato GO in June 2025; acquired DeepConverse in March 2025. [linkedin.com](https://www.linkedin.com/company/workato) / [workato.com](https://www.workato.com/)

## Competitive Advantages
- **#1 iPaaS** per Gartner (2026) and recognized as a leader in enterprise integration. [workato.com](https://www.workato.com/)
- **Enterprise MCP** for AI agents, providing a dedicated orchestration layer that makes agents predictable, secure, and scalable – a unique moat in the agentic AI space.
- **Deep ecosystem**: Over 50% of Fortune 500 companies use Workato, indicating strong network effects and enterprise trust.
- **Embedded integration capabilities**: Allows companies to embed Workato’s automation into their own products (embed offering).

## Strategic Focus
- **Agentic AI orchestration**: Positioning as the “trusted orchestration layer for AI agents” with the Enterprise MCP platform.
- **Expansion of AI super app (Workato GO)**: Combining search, action, and orchestration into a single interface for enterprise users.
- **International growth**: Presence in 39 countries, with offices in Palo Alto, San Francisco, Singapore, India, Netherlands, and others. Continued hiring in sales, engineering, and customer success globally.
- **Product innovation**: Investing in AI products (Chief of AI Products role), search/retrieval engineering, and Rust development for performance.

## Why Work Here
- **Culture**: Values include “Act Customer-First”, “Get S#*t Done”, “Raise Our Game”. Emphasis on balance between productivity and wellness. [workato.com/careers](https://www.workato.com/careers)
- **Flexible Working**: Flexible working arrangements, dedicated wellness and recreation time, virtual game nights, fitness sessions. [workato.com/careers](https://www.workato.com/careers)
- **Professional Development**: Training programs, budgets for upskilling, support for individual career ambitions. [workato.com/careers](https://www.workato.com/careers)
- **Benefits**: Health insurance, Employee Assistance Programme (EAP), referral bonuses, stock options. [workato.com/careers](https://www.workato.com/careers)
- **Engineering Culture**: Strong technical roles (Senior Rust Developer, Senior Software Engineer in Search/Retrieval, AI product roles). Average employer rating 4.0/5.0 (423 reviews) with culture rated 3.8, compensation 3.8, career growth 3.6. [linkedin.com](https://www.linkedin.com/company/workato)
- **Global Presence**: Offices in Palo Alto (HQ), San Francisco, Singapore, India, Netherlands, and more – hybrid/remote options available. [workato.com/about_us](https://www.workato.com/about_us)

## Sources
1. [workato.com - About Us](https://www.workato.com/about_us)
2. [workato.com - Careers](https://www.workato.com/careers)
3. [workato.com - Homepage](https://www.workato.com/)
4. [linkedin.com - Company Page](https://www.linkedin.com/company/workato)
5. [job-boards.greenhouse.io - Workato Jobs](https://job-boards.greenhouse.io/workato/jobs/8188971002)

## Other roles at Workato

- [Senior AI Engineer](https://feeny.ai/job/senior-ai-engineer-workato-singapore-pa3snd18b5wn) — Singapore
- [Global Account Director](https://feeny.ai/job/global-account-director-workato-tokyo-ce65p515dzn5) — Tokyo, Japan
- [Senior ABM & Demand Generation Manager](https://feeny.ai/job/senior-abm-demand-generation-manager-workato-san-francisco-xne05zvxpz26) — San Francisco, CA
- [Sr. Legal Counsel](https://feeny.ai/job/sr-legal-counsel-workato-palo-alto-meed4p49cttw) — Palo Alto, CA
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-workato-singapore-j523fmef0y74) — Singapore
- [Workplace Manager](https://feeny.ai/job/workplace-manager-workato-palo-alto-wpsceqpfgyt7) — Palo Alto, CA
- [Intern, Data Engineering](https://feeny.ai/job/intern-data-engineering-workato-singapore-qs226ah3pf9t) — Singapore
- [Senior Salesforce Administrator (6-month contract)](https://feeny.ai/job/senior-salesforce-administrator-6-month-contract-workato-palo-alto-jaz012cw7rdp) — Palo Alto, CA
- [Senior Workday Analyst (6-months contract)](https://feeny.ai/job/senior-workday-analyst-6-months-contract-workato-palo-alto-0vddkv1yezny) — Palo Alto, CA
- [Senior Payroll Analyst](https://feeny.ai/job/senior-payroll-analyst-workato-alabang-e6nvdcmmfkeg) — Alabang, Philippines