Data Analyst

We are seeking a talented Data Analyst, who will be responsible for collecting, analyzing, and interpreting complex data sets to provide valuable insights and support informed decision-making. You will collaborate with cross-functional teams to identify data requirements, design data models, and develop reports and visualizations. This is an exciting opportunity to contribute to data-driven strategies and drive business growth.

Responsibilities:

• Collect, clean, and transform raw data from various sources for analysis.
• Perform data exploration, statistical analysis, and data mining to identify trends, patterns, and insights.
• Develop and maintain data models and databases to ensure data accuracy and accessibility.
• Create reports, dashboards, and visualizations to present findings and communicate data-driven insights to stakeholders.
• Collaborate with cross-functional teams to identify business requirements and define key performance indicators (KPIs).
• Conduct ad-hoc data analysis and provide recommendations for process improvements and optimizations.
• Perform data validation and quality assurance to ensure data integrity and reliability.
• Stay up-to-date with industry trends and best practices in data analysis and data visualization techniques.
• Collaborate with IT teams to implement data governance and security measures.

Requirements:

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst or similar role.
• Proficient in SQL and data analysis tools (e.g., Python, R, Excel, Tableau).
• Strong analytical and problem-solving skills with the ability to work with large and complex datasets.
• Knowledge of data modeling concepts and database management systems.
• Excellent communication and presentation skills to effectively communicate insights to both technical and non-technical stakeholders.
• Attention to detail and the ability to work independently or as part of a team.
• Familiarity with data visualization best practices and tools.
• Experience with machine learning and predictive analytics is a plus.