Data Analyst (Middle)
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Summary
Data Analyst (Middle) for a US-based IT product company: day to day you write MongoDB aggregation queries, build end-to-end dashboards (Grafana/Metabase/Superset/Power BI), work with REST APIs and Docker Compose local stacks, and analyze AI/LLM system behavior (response quality, latency, token usage).
Our client US based IT product company is looking for Data Analyst (Middle)
Required Skills
- MongoDB — aggregation pipelines (`$match`, `$group`, `$lookup`, `$unwind`), write complex queries independently
- Dashboards — build end-to-end in Grafana, Metabase, Superset, or Power BI
- REST API / Postman — read Swagger specs, call endpoints, analyze responses
- Docker Compose — spin up a local stack (`docker compose up`, `.env`)
- Basic understanding of AI systems — what LLMs, RAG, and agents are; ability to analyze their behavior from data (response quality, latency, token consumption, anomalies)
Nice to Have
- PostgreSQL (CTEs, window functions)
- Python / Pandas
- LLM analytics tools — Langfuse, Arize Phoenix (token usage, latency, quality metrics)
- Cybersecurity / DLP / SIEM background
- RAGAS or other LLM evaluation frameworks
Soft Skills (mandatory)
Self-sufficient, accountable, resilient under pressure. Tasks often come without detailed specs — the candidate is expected to navigate ambiguity independently and deliver results.