Lead Data Analyst

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.