Data Analyst

A Data Analyst is responsible for manipulating, analyzing, and interpreting complex datasets to help organizations make informed business decisions. They transform raw data into actionable insights through a combination of statistical analysis, reporting, and data visualization. Working closely with business teams, they identify trends, patterns, and areas for improvement. Data Analysts utilize advanced data processing tools and software to automate reporting tasks and ensure data accuracy and reliability. They play a crucial role in formulating business strategies by presenting data-driven insights that highlight areas of opportunity and potential risks. Through collaboration with cross-functional teams, they support various departments in their decision-making processes, driving the organization towards its goals efficiently.

Responsibilities

• Collect, clean, and analyze data from multiple sources to identify data-driven insights.
• Develop and maintain comprehensive dashboards and reports for stakeholders' easy understanding.
• Collaborate with IT and data engineering teams to ensure seamless data integration.
• Conduct regular data audits and validation processes to maintain high data quality standards.
• Assist in the design and implementation of data models and predictive analytics.
• Translate complex data sets into user-friendly reports and visualizations.
• Work with management to prioritize business and data needs effectively.
• Support the development of data policies, governance, and related frameworks.
• Prepare ad-hoc reports and analysis as requested by business units or management.
• Provide training and support to team members on data tools and analytics processes.
• Identify areas for process improvement and recommend data-driven strategies.
• Ensure compliance with data protection regulations and best practices in data management.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data analysis and statistical methodologies is required.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Experience with data visualization tools such as Tableau, Power BI, or similar software.
• Strong problem-solving skills and attention to detail with complex datasets.
• Excellent communication skills for presenting findings to technical and non-technical audiences.
• Ability to manage multiple projects simultaneously while meeting deadlines effectively.