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EXL

Business Analytics Manager

EXL, New York, New York, us, 10261

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This range is provided by EXL. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range $130,000.00/yr - $150,000.00/yr

Role Summary We are seeking an experienced data analytics consultant to join our team who specializes in delivering advanced data solutions for US-based clients in banking and financial services. This role involves a deep understanding of the credit market, investment strategy, researching, and analyzing financial data along with identifying, assessing, and managing risks associated with private credit investment portfolios.

This is a full-time onsite role based out of our client’s office in Manhattan, New York, United States.

Responsibilities

Data Analytics Solutions : Design, develop, and implement robust data analytics solutions to extract, transform, and load data from various sources into

Snowflake

data warehouse and prepare dashboards.

Data Analysis : Perform data analysis to identify trends, patterns, and insights. Implement analytical frameworks for predictive analytics and data‑driven decision support.

Reports and Dashboards : Create reports and visualizations to communicate findings to stakeholders. Utilize

Streamlit

to create interactive and visually compelling dashboards that communicate complex data insights in an easily understandable manner.

Collaboration : Work with business analysts, clients, and other stakeholders to understand business requirements for analytical solutions to be developed by self and the offshore team. Deliver high quality client services, including documentation within expected timeframes.

Serve as onsite coordinator for the offshore team, acting as the front face to present outcomes to client stakeholders and gather requirements.

Qualifications

Educational Background : A degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

Industry Experience : 7+ years in analytics, preferably in BFSI. Good knowledge in Financial Analytics and Banking Analytics.

Technical Skills : Strong proficiency in

Python

&

SQL . Hands‑on experience with

Snowflake, AWS SageMaker . Experience in financial modeling and valuations.

Analytical Skills : Strong analytical and problem‑solving skills. Past experience in problem‑solving roles and strategic initiatives.

Communication Skills : Excellent communication and stakeholder management skills.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Information Technology

Medical insurance

Vision insurance

401(k)

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