Description

You will translate business requirements into actionable insights through statistical analysis and data-driven solutions.

Responsibilities

• Perform data cleaning, transformation, and visualization to uncover patterns in large datasets.
• Partner with data engineering to develop and maintain ETL pipelines and workflows.
• Apply statistical analysis and machine learning algorithms to predict outcomes and optimize processes.
• Maintain data models, dictionaries, and documentation to ensure integrity and consistency.
• Present technical data to non-technical stakeholders across all organizational levels.

Required Skills

• 4+ years of related experience in data analysis.
• Proficiency in SQL for data querying and manipulation.
• Proficiency in Python for data analysis and scripting.
• Experience with data visualization software including PowerBI, Tableau, and Looker.
• Experience with cloud platforms such as GCP, Azure, and AWS.
• Experience with data warehousing technologies like Oracle Databases, SAP HANA, and Google BigQuery.
• Working knowledge of machine learning, statistical techniques, and algorithms.
• Solid understanding of data modeling concepts and ETL processes.

Key Skills

Education

Any Graduate