Job Description
Responsibilities:
- Collect, clean, and analyze large datasets to extract meaningful insights.
- Develop and implement data models, algorithms, and statistical methods to solve complex business problems.
- Interpret data and analyze results using statistical techniques to identify trends, patterns, and correlations.
- Create visualizations and reports to communicate findings and insights to stakeholders effectively.
- Collaborate with cross-functional teams to understand business requirements and provide analytical support.
- Continuously monitor data quality and integrity, identifying and resolving discrepancies as needed.
- Stay updated on industry trends, best practices, and emerging technologies in data analysis and data visualization.
- Contribute to the development and enhancement of data analytics tools and processes.
Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field. A Master’s degree is a plus.
- Proficiency in data analysis tools and programming languages such as SQL, Python, R, or similar.
- Strong understanding of statistical concepts and techniques.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and presentation skills, with the ability to convey complex ideas to non-technical stakeholders.
- Experience with machine learning techniques and predictive modeling is a plus.