Data Analyst
Job Summary
We are looking for a Data Analyst to turn raw data into clear insights using modern tooling and LLM-based tools. You will explore datasets, surface patterns, and help build data pipelines to support analysis. The role involves working closely with cross-functional teams to define metrics and answer business questions.
Responsibilities
- Perform exploratory data analysis (EDA)
- Clean, transform, and validate data
- Build and maintain basic data pipelines
- Leverage LLM tools for analysis
- Create visualizations and reports
Required Skills
- SQL and Python or R
- Exploratory data analysis and statistics
- LLM tools workflow
- ETL/ELT and data pipelines
- Communication skills
Job Details
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
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)