Data Analyst Trainee entry level

1. Data Engineering:

• Create and maintain complex SQL queries based on business needs demonstrating a deep understanding of database structures and optimization.
• Design develop and maintain robust data pipelines for efficient data extraction transformation and loading (ETL) processes.
• Collaborate with crossfunctional teams to understand data requirements and ensure data integrity and quality.

1. Data Analysis:

• Utilize advanced statistical and machine learning techniques to analyze large datasets and extract meaningful patterns trends and insights.
• Work closely with stakeholders to define analytical objectives and provide actionable recommendations based on datadriven insights.

1. Analysis to Insights:

• Translate raw data into meaningful insights using a combination of analytical skills and industry knowledge.
• Develop and maintain dashboards and reports that showcase key performance indicators (KPIs) and provide a clear understanding of business metrics.

1. Insights to Action:

• Collaborate with business teams to interpret analytical findings and contribute to strategic decisionmaking processes.
• Proactively identify opportunities for process optimization and improvements based on datadriven insights.

1. Visualization Expertise:

• Create visually compelling and easytounderstand dashboards and reports using industryleading visualization tools (e.g. Tableau Power BI).
• Ensure data visualizations adhere to best practices promoting effective communication and understanding.

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