Data Analyst

Qualifications and Skills

• Proficiency in data analysis to extract meaningful insights and support decision-making processes.
• Strong command of Excel, enabling efficient handling and analysis of large datasets. (Mandatory skill)
• Critical thinking to assess information, recognize patterns, and propose actionable recommendations. (Mandatory skill)
• Familiarity with SQL for database querying and management, enhancing data access and manipulation.
• Ability to perform statistical analysis for data-driven problem solving and predictive modeling.
• Skilled in data visualization techniques to present data clearly and effectively to stakeholders.
• Experience with Python programming for data manipulation and application of statistical techniques.
• Excellent problem-solving abilities to identify issues, evaluate solutions, and implement effective strategies.

Roles and Responsibilities

• Conduct thorough data analysis to identify trends, patterns, and insights for business improvement.
• Utilize Excel and SQL to manage, analyze, and visualize data efficiently, supporting project objectives.
• Collaborate with cross-functional teams to provide data-driven reports and support strategic initiatives.
• Interpret complex data sets and develop comprehensive models for decision support.
• Present findings and insights to stakeholders, contributing to informed decision-making processes.
• Enhance data collection procedures, ensuring accuracy, reliability, and efficient retrieval of information.
• Assist in statistical analyses and modeling projects, supporting various business functions.
• Work continuously on skill enhancement and process improvements to increase operational efficiency.