Data Analyst (SQL, AWS, Python, PySpark)

Job Overview

We are seeking a Data Analyst to support BAU (Business-As-Usual) operations, focusing on data analysis, reporting, and ensuring high data quality. The ideal candidate will work closely with business and technical teams to deliver actionable insights and maintain reliable data pipelines.

Required Skill

• Strong hands-on experience with SQL (complex queries, joins, performance tuning)
• PySpark experience.
• Experience working in AWS environments (S3, Redshift, Glue, etc.)
• Proficiency in Python for data analysis (Pandas, NumPy, etc.)
• Solid understanding of data analysis and reporting concepts
• Experience in data quality checks and validation techniques

Prefered

• Experience with BI tools (Tableau, Power BI, etc.)
• Familiarity with data pipelines and ETL processes

Job description

• Develop and maintain reports and dashboards for business stakeholders
• Perform data analysis to identify trends, patterns, and insights
• Ensure data quality, accuracy, and consistency across datasets
• Write and optimize SQL queries for data extraction and reporting
• Work with AWS-based data environments (S3, Redshift, etc.)
• Utilize Python for data processing, automation, and analysis
• Collaborate with cross-functional teams to support ongoing business needs
• Troubleshoot data issues and provide timely resolutions