Job Description

 About the Role

We’re looking for a Data Analyst who can turn raw data into clear insights. You’ll explore datasets, surface patterns, and use modern tooling (including LLM-based tools) to work faster and smarter. Some data engineering know-how will help you build and maintain the pipelines that feed your analysis.

Responsibilities:

• Perform exploratory data analysis (EDA) to uncover trends, anomalies, and actionable insights
• Clean, transform, and validate data from multiple sources
• Build and maintain basic data pipelines and workflows
• Leverage LLM tools (e.g., ChatGPT, Claude, Copilot) to accelerate analysis, code generation, and documentation
• Create clear visualizations and reports for technical and non-technical stakeholders
• Partner with cross-functional teams to define metrics and answer business questions

Job Requirements

Requirements:

• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field (or equivalent practical experience)
• Minimum 2 years of experience in a data analyst or similar role
• Strong skills in exploratory data analysis and statistical reasoning
• Proficiency in SQL and Python (pandas, NumPy) or R
• Working knowledge of LLM tools and how to apply them effectively in an analytics workflow
• Some data engineering experience (ETL/ELT, data pipelines, warehousing concepts)
• Familiarity with dbt, Airflow, or similar orchestration tools
• Solid communication skills and attention to detail

Nice to Have:

• Experience with visualization tools (Tableau, Power BI, or similar)

Skills