Data Analyst, Reporting Analysis

Citi

Senior Data Analyst leveraging SAS/Python to support mortgage industry insights and regulatory deliverables in Risk Management.

Posted 6/5/2026full-timeGurgaon • 🇮🇳 IndiaSeniorLeadWebsite

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Hard Skills

SASPythonSQLdata analysisdata visualizationMatplotlibSeabornMIS reportingregulatory reportingdata extraction

Soft Skills

analytical mindsetbusiness acumencommunication skillspresentation skillsownershipindependent workstakeholder communicationactionable insightsproblem-solvingattention to detail

Certifications & Qualifications

Master's degree in Computer ScienceMaster's degree in Statistics

Industry Keywords

mortgage industryregulatory requirementskey performance indicatorsbusiness trendsrisk managementmarketingretail bankingcommercial bankingMISregulatory deliverables

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain MIS reports and dashboards using SAS and/or Python to track key performance indicators and provide insights into business trends.
Perform in-depth data analysis and create compelling visualizations to communicate findings to stakeholders.
Apply deep knowledge of the mortgage industry, including MIS and regulatory requirements, to ensure the accuracy and relevance of our reporting and analysis.
Support the delivery of regulatory reports and ensure compliance with all relevant regulations.
Proactively identify trends, patterns, and anomalies in data to provide actionable insights and recommendations to the Risk or Marketing teams.
Work as a high-performing individual contributor, taking ownership of projects and delivering high-quality work with minimal supervision.

Requirements

What you’ll need

8+ years of experience as an individual contributor in a major bank, working within Risk or Marketing teams with a focus on the mortgage and/or retail/commercial banking industry.
Expertise in SAS or Python for data analysis, MIS, and visualization.
Proficiency in SQL for data extraction and manipulation.
Experience with visualization libraries in Python (e.g., Matplotlib, Seaborn) or other visualization tools is a plus.
Deep understanding of the mortgage industry, including key metrics, MIS, and regulatory deliverables.
Strong business acumen and the ability to translate data into actionable business insights.
A strong analytical mindset and a passion for working with data.
Excellent communication and presentation skills, with the ability to explain complex analysis to a non-technical audience.
Master's degree in Computer Science or Statistics is required.

Benefits

Comp & perks

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.