Data Analyst

Responsibilities

• 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).