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About the role

Responsible for collecting, analyzing, and interpreting large volumes of data to generate insights that inform business decisions.

Responsibilities

• Collecting and processing large volumes of data from a variety of sources.
• Cleaning and transforming data to prepare it for analysis.
• Using statistical analysis and machine learning techniques to identify patterns and trends in the data.
• Developing predictive models to forecast future trends and outcomes.
• Communicating findings to key stakeholders in the business.
• Collaborating with other teams, such as IT, marketing, and product development, to identify opportunities for data-driven decision-making.
• Continuously monitoring and improving the quality of data analysis processes and methodologies.

Requirements

• Strong background in statistics, mathematics, or computer science.
• Proficiency in data analysis tools such as Python or R.
• Excellent communication skills to clearly articulate findings to both technical and non-technical audiences.

Qualifications

• Experience with machine learning, data visualization, and cloud computing technologies such as AWS or Azure (preferred).