We are looking for experienced Data Analysts, Data Engineers, or BI Analysts to test and complete an onboarding flow for our new data platform. The goal is to generate a functional "context layer" using your own live data environment.
The Task
1. Onboard: Connect your own Data Warehouse (Snowflake, BigQuery, Redshift, etc.).
2. Model: Go through a short modeling flow to create a context layer for your tables.
3. Stress-Test: Ask 30 natural language questions based on your data (e.g., "What was the YoY growth for [Product X] in Q3?").
4. Validate: Provide feedback on whether the platform answered correctly. If it failed, you will identify why (e.g., wrong join, misunderstood metric, or schema ambiguity).
Requirements (Strict)
- Active DWH Access: You must have access to a dataset with real KPIs/measures.
- Query Log History: Your DWH must have an active query log history (this is how our platform learns).
- Analytical Depth: Ability to formulate complex business questions and verify SQL/result accuracy.
Deliverable
A completed onboarding flow and a feedback log for 30 natural language queries, noting "Success" or "Reason for Failure" for each.
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