Roles and Responsibilities:

• Collect, clean, and preprocess data from various sources including databases, spreadsheets, and APIs.
• Perform exploratory data analysis to identify trends, patterns, and anomalies in the data.
• Develop and implement data models, algorithms, and statistical techniques to extract actionable insights.
• Create visualizations, dashboards, and reports to communicate findings and recommendations to stakeholders.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Conduct predictive modeling and forecasting to support business planning and optimization.
• Stay current with industry trends and best practices in data analytics and continuously improve analytical methodologies and tools.
• Assist in the development of data infrastructure and tools to streamline data collection, processing, and analysis workflows.
• Provide training and support to team members on data analysis techniques and tools.

• Proven experience in data analysis, preferably in a business or organizational setting.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
• Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
• Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
• Knowledge of statistical techniques and machine learning algorithms.
• Excellent communication and presentation skills with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and commitment to delivering high-quality work.