Description

You will analyze large datasets to identify trends and patterns that drive strategic business decisions.

Responsibilities

• Gather and process structured and unstructured data from various sources.
• Develop and maintain ETL processes to ensure data quality and integrity.
• Perform statistical analysis, data mining, and predictive modeling to extract insights.
• Create visualizations, charts, and dashboards to communicate findings to stakeholders.
• Collaborate with engineers and data scientists to implement data-driven solutions.

Required Skills

• 10+ years of experience in data analysis or related roles.
• Proficiency with Hadoop, Spark, Hive, Pig, and Kafka.
• Strong programming skills in Python or R.
• Experience managing ETL processes and NoSQL databases.
• Expertise in statistical analysis and machine learning techniques.
• Ability to track and report on KPIs through data visualization.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong SQL skills for complex data querying.

Preferred Skills

• Experience with machine learning frameworks like TensorFlow or scikit-learn.
• Proficiency with version control tools such as Git.

Key Skills

Education

Any Graduate