Qualifications and Skills

• Proficiency in data analysis to interpret and derive meaningful insights from complex datasets is required.
• Experience with SQL (Mandatory skill) to manipulate and query databases efficiently.
• Data visualization skills (Mandatory skill) to represent data through charts and graphs for clear interpretation.
• Ability to perform statistical analysis to make data-driven decisions and predictions.
• Experience with Python for data manipulation, analysis, and automation tasks.
• Proficiency in Excel to handle data organization, analysis, and visualization.
• Skills in data cleaning techniques to ensure data quality and reliability.
• Critical thinking skills to approach problems logically and make informed decisions based on data.

Roles and Responsibilities

• Conduct data analysis to identify trends, patterns, and insights that support business decisions.
• Create data visualizations using tools like Tableau or PowerBI for easy and effective communication of insights.
• Collaborate with team members to understand data requirements and deliver suitable solutions.
• Utilize SQL to extract, transform, and manage data stored in databases and data warehouses.
• Develop and maintain dashboards to facilitate data-driven decision-making processes.
• Ensure data accuracy and integrity through robust data cleaning processes.
• Support the team in designing metrics and KPIs to evaluate business performance.
• Participate in regular meetings to present findings and suggest improvements based on data analysis.