Data Analyst (Middle)

Job description

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.