Business Analyst (Hadoop) for Banking domain

We are looking for a talented Business Analyst with expertise in Hadoop technologies and a strong background in the banking domain. The ideal candidate will play a crucial role in bridging the gap between business needs and technology solutions, ensuring optimal use of data resources to drive banking operations and decision-making. As a Business Analyst, you will work alongside cross-functional teams to gather requirements, analyze data, and contribute to data-driven decision-making processes.

• Gather and document business requirements related to banking operations, including data processing, reporting, and analytics needs.
• Analyze and interpret large volumes of data using Hadoop and related technologies to uncover insights that support business objectives.
• Collaborate with data engineers and developers to translate business needs into technical specifications.
• Design data models and optimize existing data structures to improve data quality and accessibility.
• Facilitate meetings and workshops with stakeholders to ensure alignment on project goals and deliverables.
• Conduct user acceptance testing (UAT) to ensure that solutions meet business and regulatory requirements.
• Monitor and report on project progress, addressing any issues that may arise during the project lifecycle.
• Educate stakeholders on Hadoop technology and its applications in banking.

• Strong knowledge of Hadoop ecosystem (HDFS, Hive, Pig, Spark, etc.) and its application in data analytics.
• Experience with data mining, data modeling, and data visualization tools.
• Excellent analytical and problem-solving skills.
• Strong communication skills, capable of presenting complex data insights to non-technical stakeholders.
• Ability to adapt to a fast-paced environment and manage multiple tasks simultaneously.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 8 years of experience as a Business Analyst in the banking or financial services domain.
• Proficiency in Hadoop technologies and a solid understanding of the banking industry.
• Experience with SQL and data visualization tools (e.g., Tableau, Power BI).
• Understanding of banking regulations and compliance standards.
• Strong project management skills and experience in Agile methodologies.