Business Analyst (Hadoop) for Banking domain

Job Overview: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. Key Responsibilities: • 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.

Key Skills & Competencies: • 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.