Data Analyst

About Workato

Why join us?

flexible, trust-oriented culture that empowers everyone to take full ownership of their roles

innovation

team players

balancing productivity with self-care

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

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).
  

(REQ ID: 2275)