Description

You will design and implement custom reporting systems and data pipelines to support business intelligence needs.

Responsibilities

• Build and maintain dashboards using visualization tools like QuickSight, Tableau, or Power BI.
• Develop and implement ETL processes and data models to support reporting.
• Use SQL and scripting languages to extract, process, and model data from various databases.
• Design automated reporting systems to improve data delivery and accessibility.
• Collaborate with technical and non-technical senior staff to gather requirements and formulate metrics.

Required Skills

• 5+ years of experience in data analysis and interpretation.
• Proficiency in SQL for querying data warehouses and databases.
• Strong experience with AWS services including S3, Athena, Lambda, EC2, and DynamoDB.
• Hands-on experience with Redshift, Oracle, and NoSQL databases.
• Expertise in building dashboards with QuickSight, Tableau, or Power BI.
• Programming experience with Python, Java, or R.
• Practical knowledge of ETL processes and data pipeline design.
• Application of statistical methods such as t-test and Chi-squared.
• Bachelor's degree in statistics, business analytics, data science, computer science, or a related field.

Preferred Skills

• Master's degree in a quantitative field.
• Experience with AWS Glue and optimizing BI processes for speed and cost.

Key Skills

Education

Any Graduate