Data Analyst

Job Summary

We are looking for an enthusiastic Data Analyst to work on projects for Analytics and Innovation team within a large financial organization.

Mandatory Skill-set

• Degree in Computer Science, Information Systems, Data Science or equivalent;
• Proficiency in writing complex queries for data extraction, transformation, and manipulation;
• Strong knowledge of Python for data processing, including libraries like Pandas, NumPy, and others;
• Experience with PySpark for distributed data processing, especially when dealing with large datasets;
• Experience with tools like Apache Airflow, Dagster, or similar tools for orchestrating and scheduling data workflows;
• Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud;
• Expertise in building and maintaining ETL (Extract, Transform, Load) processes that are scalable, efficient, and error-free;
• Experience deploying batch processes for data extraction, pipeline and transformation;
• Experience with data visualization tools such as Tableau, Power BI, or libraries in Python (e.g., Matplotlib, Seaborn);
• Strong written and verbal communication skills.

Desired Skill-set

• Experience with agile methodologies or similar frameworks for managing project tasks and deliverables;
• Familiarity with containerization technologies like Docker or orchestration platforms like Kubernetes;
• Prior experience with banking clients.

Responsibilities

• Design, build, and maintain robust data pipelines that efficiently transport data from various sources to the storage systems;
• Improve data collection processes to capture more relevant, clean, and useful data for analysis;
• Cleanse and preprocess raw data to ensure it is accurate, complete, and in the right format for analysis;
• Perform data validation to ensure the integrity of the dataset and handle any inconsistencies;
• Support the operationalization of data systems, ensuring that data flows seamlessly from collection through processing and storage;
• Perform testing and validation of the systems and pipelines before deploying them into production;
• Work closely with data scientists, software engineers, and business analysts to understand data needs and deliver suitable solutions;
• Provide support in troubleshooting issues, optimizing processes, and continuously improving system performance.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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