Responsibilities:
- Analyze large datasets to identify trends, patterns, and insights.
- Interpret data to generate actionable business insights and recommendations
- Develop and maintain reports, dashboards, and data visualizations using tools like Tableau, Power BI, or similar.
- Ensure data accuracy and integrity by performing data validation and cleaning.
- Manage and maintain databases, data warehouses, and data pipelines.
- Lead data analysis projects from inception to completion, ensuring timely delivery and alignment with business objectives.
- Develop and implement advanced analytics models, such as predictive modeling and machine learning algorithms.
Requirements:
- Degree in Computer Science or a related field.
- Minimum of 5 years of experience in data analysis or a related field.
- Proven track record of working with large datasets and complex data analysis projects.
- Proficiency in data analysis tools and languages, such as SQL, Python, R, or SAS.
- Excellent problem-solving skills and ability to think critically.
- Strong attention to detail and accuracy in data analysis.
- Strong interpersonal skills and ability to work collaboratively in a team environment.
