Data Analyst

We are seeking a motivated Data Analyst to join our team and help transform raw data into actionable insights. The ideal candidate will be proficient in Python, pandas, NumPy, matplotlib, SQL, Databricks, PySpark, Git, and statistics. In this role, you will work closely with cross‑functional teams to gather requirements, clean and analyze data, build visualizations, and support data‑driven decision making. The position requires a strong analytical mindset, attention to detail, and the ability to communicate findings clearly to both technical and non‑technical stakeholders.

Responsibilities

• Collect, clean, and transform large datasets from multiple sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and visualizations using matplotlib and other tools.
• Write efficient SQL queries and leverage Databricks and PySpark for big‑data processing.
• Collaborate with data engineers and product teams to define data requirements and deliver insights.
• Document data pipelines, analysis methods, and findings for reproducibility.
• Use Git for version control of scripts, notebooks, and documentation.

Requirements

• Proficiency in Python, pandas, NumPy, matplotlib, SQL, Databricks, PySpark, Git, and statistics.
• 0 to 3 years of experience in data analysis or a related field.
• Strong analytical and problem‑solving skills.
• Excellent written and verbal communication abilities.
• Ability to work independently and as part of a collaborative team.