About this role
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. In this role, you will play a crucial part in leading data projects, managing stakeholder expectations, and driving data-driven decision-making within the organization.
Key Responsibilities:
- Lead and manage data analysis projects from inception to completion.
- Collaborate with stakeholders to understand their data needs and provide actionable insights.
- Utilize tools such as PySpark, Hadoop, and SQL to analyze large datasets and generate reports.
- Ensure data quality and integrity throughout the analysis process.
- Mentor and guide junior analysts in best practices and analytical techniques.
- Communicate findings and recommendations to both technical and non-technical audiences.
Required Skills & Qualifications:
- Proven experience in the banking domain with a strong understanding of financial data.
- Proficiency in data analysis tools including PySpark, Hadoop, and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Experience:
- A minimum of 5-8 years of experience in data analysis, with a focus on the banking sector.
What we offer:
- Opportunity to lead impactful data projects.
- A collaborative work environment that values innovation.
- Professional development and growth opportunities.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.