Description

You will extract, transform, and load data to drive data-driven decisions.

This role is remote.

Responsibilities

• Extract, transform, and load (ETL) data from various sources using Python, SQL, and Spark.
• Clean, validate, and organize raw data to ensure accuracy and completeness.
• Develop and maintain data pipelines for efficient data ingestion and processing.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Create reports, dashboards, and visualizations using tools like Tableau, Power BI, or Matplotlib/Seaborn.

Required Skills

• 3+ years of proven experience as a Data Analyst or similar role.
• Strong proficiency in Python for data analysis, including Pandas and NumPy.
• Demonstrable experience with Apache Spark for big data processing.
• Solid understanding of SQL for data extraction and manipulation.
• Experience with Data Analysis, Machine Learning, and ETL processes.
• Skilled in Data Visualization using Matplotlib and Seaborn.
• Bachelor's or Master's degree in a quantitative field.

Preferred Skills

• Ability to apply statistical methods and machine learning techniques.

Key Skills

Education

Any Graduate