As a Data Analytics Engineer, you will work closely with cross-functional teams to understand business requirements, identify data sources, and develop robust data pipelines. Your expertise in data modeling, analysis, and visualization will be crucial in extracting meaningful insights from large datasets.
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
