We are looking for a talented, curious, and detail-oriented Data Analyst to join our team. This role is ideal for someone who thrives on complex challenges, enjoys working with complex large-scale datasets, and takes true ownership of turning raw data into high-quality, reliable insights.

What You'll Do:

• Data Analysis & Noise Detection: analyze large-scale sensor datasets to detect, classify, and isolate noise
• Pattern Recognition & Quality Control: Identify recurring noise patterns and develop scalable, rule-based logic to reduce manual validation.
• Reporting & Visualization:build dashboards and recurring reports to track data quality, system performance, and noise trends.
• Cross-Platform Data Integration: work with APIs and client environments to extract, unify, and ensure consistency across multiple data sources.
  
  

Our Tech Stack & Requirements

• Python for data analysis and visualization (pandas, numpy, matplotlib)
• Strong Excel skills
• SQL (joins, subqueries; complex querying)
• APIs and multi-environment data work (advantage)
• Solid understanding of statistics and analytical methodologies
• Practical GenAI usage in daily work, with strong validation habits
• Ability to write technical prompts (clear inputs/outputs, constraints, examples)
• Basic familiarity with AI concepts (LLMs, context, hallucinations)
• Familiarity with agent/tooling concepts (e.g., MCP, RAG / reasoning frameworks)

Soft Skills

• Independent, self-driven, fast learner
• Strong analytical thinking and problem-solving
• Excellent written and verbal communication (English)
• Background in intelligence / multidisciplinary analysis (advantage)
  

Join us to take full ownership of our data quality and play a key role in shaping how we leverage AI to drive insights.