Job Description

Lead Assistant ManagerEXL/LAM/1431542


ServicesGurgaon
Posted On
25 Jul 2025
End Date
08 Sep 2025
Required Experience
2 - 4 Years



Basic Section
Number Of Positions


5


Band


B2


Band Name


Lead Assistant Manager


Cost Code


D014365


Campus/Non Campus


NON CAMPUS


Employment Type


Permanent


Requisition Type


New


Max CTC


1200000.0000 - 1500000.0000


Complexity Level


Not Applicable


Work Type


Hybrid - Working Partly From Home And Partly From Office


Organisational
Group


Analytics


Sub Group


Banking & Financial Services


Organization


Services


LOB


Banking & Financial Services


SBU


Analytics


Country


India


City


Gurgaon


Center


EXL - Gurgaon Center 38




Skills
Skill


SQL


PYTHON


DATA ANALYTICS


Minimum Qualification


B.TECH/B.E


Certification


No data available

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
Workflow
Workflow Type


L&S-DA-Consulting