Description

We are seeking a highly skilled Lead Data Analyst with extensive experience in the banking domain. The ideal candidate will possess a strong technical background in data analysis, particularly with tools like PySpark, Hadoop, and SQL. You will play a crucial role in leading data projects, managing stakeholder expectations, and driving data-driven decision-making within the organization. If you are a results-oriented professional with a passion for data and team leadership, we invite you to apply.

Responsibilities

Lead and manage data analysis projects in the banking domain, ensuring timely and accurate delivery of insights.
Collaborate with stakeholders to gather requirements and translate business needs into analytical solutions.
Utilize PySpark and Hadoop to process and analyze large datasets effectively.
Develop complex SQL queries to extract and manipulate data from various databases.
Create detailed reports and dashboards using Excel to present findings to stakeholders and management.
Facilitate Agile ceremonies and ensure team adherence to Agile principles using Jira and Confluence.
Mentor and guide junior analysts, fostering a collaborative and high-performance team environment.
Conduct regular stakeholder meetings to provide project updates and gather feedback.

Skills and Qualifications

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science).
7-12 years of experience in data analysis, specifically in the banking domain.
Strong proficiency in PySpark and Hadoop for big data processing.
Expertise in SQL for data extraction and manipulation is mandatory.
Advanced skills in Excel for data analysis and visualization.
Experience working within an Agile framework and using project management tools like Jira and Confluence.
Proven experience in stakeholder management and effective communication skills.
Demonstrated ability to lead a team and manage projects from initiation to completion.