Description

You will own the data pipeline lifecycle, from extraction to visualization, ensuring data integrity and accessibility for business decision-making.

Responsibilities

• Build and maintain ETL processes to collect, clean, and transform data from multiple sources.
• Perform exploratory data analysis and statistical modeling to identify patterns and trends.
• Develop comprehensive reports and visualizations that address specific business use cases.
• Optimize database structures and queries to ensure efficient data storage and retrieval.
• Collaborate with cross-functional teams to define data requirements and deliver analytical solutions.

Required Skills

• 5+ years of experience in Data Analysis and Data Mining.
• Proficient in SQL for complex querying and Database Management.
• Strong command of Python for data manipulation and automation.
• Experience with ETL tooling and pipeline architecture.
• Ability to create clear Data Visualization dashboards and reports.
• Solid understanding of Statistical Analysis methodologies.
• Any Graduate degree.

Key Skills

Education

Any Graduate