Key Responsibilities:

Collect, organize, and clean large datasets from various sources to ensure accuracy and completeness.
Develop and implement data collection systems and strategies to optimize data quality and efficiency.
Analyze complex datasets using statistical methods to identify trends, patterns, and correlations.
Create visualizations, dashboards, and reports to present data in a clear and concise manner.
Collaborate with cross-functional teams to identify business needs and provide data-driven recommendations.
Develop and maintain databases, data warehouses, and other data infrastructure to support ongoing data analysis.
Monitor data quality and integrity to ensure accuracy and consistency across all systems.
Identify and troubleshoot data-related issues and provide timely solutions.
Stay up-to-date with industry trends and best practices in data analysis and reporting.

Requirements:

Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field.
Minimum of 2 years of experience in a data analysis role.
Strong analytical and problem-solving skills with a keen attention to detail.
Proficiency in SQL and data visualization tools such as Tableau or Power BI.
Experience working with large datasets and databases.
Knowledge of statistical analysis and data mining techniques.
Excellent communication and presentation skills.
Ability to work independently and in a team environment.
Proven track record of delivering high-quality results in a fast-paced and dynamic environment.
Strong project management skills and ability to prioritize tasks effectively.
Experience with programming languages such as Python or R is a plus.

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