Description

You will analyze complex datasets to generate accurate business insights.

Responsibilities

• Analyze large and complex datasets to generate accurate insights and reports.
• Write and optimize complex SQL queries using joins, window functions, analytical functions, and CTEs.
• Work with high-scale databases such as BigQuery, Hive, or Postgres.
• Use Python (Pandas, NumPy) for data manipulation and basic automation.
• Investigate data inconsistencies and perform root cause analysis.

Required Skills

• 2+ years of experience in a data-heavy analytical environment.
• Strong expertise in SQL, including complex joins, window functions, and CTEs.
• Experience working with large-scale databases.
• Functional knowledge of Python for data analysis (Pandas, NumPy).
• Strong analytical, problem-solving, and logical thinking skills.
• Ability to understand data pipelines and system dependencies.
• High attention to detail and data accuracy.

Preferred Skills

• Experience in E-commerce or FinTech domains.
• Exposure to data automation or reporting workflows.
• Familiarity with ETL processes and data warehousing concepts.

Key Skills

Education

Bachelor's degree