Data Analyst

About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at 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 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

Workato is looking for a Data Analyst who blends strong analytics with hands-on data engineering and automation skills. You’ll turn raw data into trusted insights, design scalable models, build dashboards stakeholders love, and automate workflows across our stack (Snowflake/ dbt/Sigma/Atlan) using Workato for ELT. Experience with iPaaS is important, AI and Snowflake Cortex knowledge are a plus.

In this role, you will also be responsible to:

• Partner with GTM, Product, CS, Finance, and Ops to scope questions and deliver clear, decision-ready insights.
• Write production-grade SQL, build/maintain dbt models (staging → marts/gold) with tests and documentation.
• Build dashboards in Sigma, Looker, or Tableau with a focus on accuracy, usability, and performance.
• Operate in Snowflake and/or Redshift; optimize queries, costs, and warehouse performance.
• Use Jupyter/Python for analysis, notebooks, and data prep when needed.
• Orchestrate integrations/automations in Workato (recipes, connectors, error handling, alerting).
• Contribute to governance: documentation, lineage, data quality checks, and role/row-level access patterns.
• (Nice to have) Explore Snowflake Cortex and GenAI techniques to accelerate analysis & self-service.

Requirements

Qualifications / Experience / Technical Skills

• 2-5 years in data analytics/BI or analytics engineering in a modern cloud data stack.
• Expert SQL (window functions, CTEs, performance tuning) and solid Python for analysis/ETL.
• Hands-on with Snowflake or Redshift (ideally both); comfort with Databricks notebooks/jobs.
• Production experience with dbt (models, tests, docs, exposures).
• Dashboarding in Sigma, Looker, or Tableau (at least one required; more is better).
• Practical experience with Workato or another iPaaS, building, deploying, and monitoring automations/integrations.
• ELT pipeline experience with Workato, Fivetran, Matillion or Informatica.
• Strong communication: translate business needs into data products; write crisp PRDs and run readouts.

Bonus Points

• Experience with Snowflake Cortex and/or applied GenAI/LLM use cases (prompting, RAG, agents).
• Data modeling (star/snowflake), orchestration, CI/CD, Git, code review, and observability best practices.
• Cost/FinOps mindset for warehouses, storage, and BI query efficiency.
• Familiarity with security & governance (RBAC, row/column security, PII handling).