Responsibilities:
- Collaborate with stakeholders to understand business objectives and translate them into solutions.
- Design and develop data pipelines to extract, transform, and load (ETL) data from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies in the data.
- Develop predictive models and algorithms to solve complex business problems.
- Implement data visualization techniques to present insights in a clear and actionable manner.
- Optimize data storage and retrieval processes for improved efficiency and scalability.
Requirements:
- Bachelor's degree in Computer Science (Big Data), Statistics, Mathematics, or a related field.
- Proven experience as a data engineer or data analyst, with a focus on building analytical solutions.
- Proficiency in programming languages such as Python, SQL, and R.
- Strong understanding of data modeling techniques and database design principles.
- Experience with data visualization tools such as Tableau, Power BI
- Familiarity with machine learning algorithms and statistical analysis techniques.
- Excellent communication and problem-solving skills.
- Ability to work independently and collaboratively in a fast-paced environment.
