Lead Assistant Manager

About the Role:

We are seeking a results-driven and detail-oriented data analyst to support data-driven decision-making within banking risk operations. This role involves working closely with stakeholders to provide actionable insights, enhance strategies, and drive operational efficiencies using tools such as SQL, Python, and advanced analytics.

Key Responsibilities:

• Analyze large volumes of data to identify trends, patterns, and performance drivers.
• Collaborate with different teams to support and influence decision-making processes.
• Perform root cause analysis and recommend improvements to optimize processes
• Design and track key KPIs
• Ensure data integrity and accuracy across reporting tools and business metrics.
• Translate complex analytical findings into business-friendly insights and decision making
• Develop and automate dashboards and reports using Power BI/Tableau to provide clear, actionable insights to operations and management teams.

Required Skills & Qualifications:

• Education: Bachelor's degree in Engineering, Mathematics, Statistics, Finance, Economics, or a related field. Master's degree is a plus.
• Experience: 2–4 years of hands-on experience in a data or business analytics role, preferably within the BFSI domain
• Technical Skills:
  • Strong proficiency in SQL & Python
  • Solid understanding of analytical techniques and problem-solving skills.
• Business Acumen: Understanding of Banking & financial Sector (Preferred)
• Bonus Skills : PySpark, Machine Learning, Tableau/Power BI