Website CITI

Data/Information Management Intermediate Analyst at Citi

This position is a mid-level professional role within Citi’s Decision Management group. It is designed for an analyst who has moved past entry-level basics and can now handle complex data problems with a degree of independence. While your day-to-day work is reviewed by senior leads, you are expected to apply professional judgment to break down systematic information and assess risks to the firm’s reputation.


🟢 Role Overview & Impact

As an Intermediate Analyst, you sit at the intersection of data maintenance and strategic decision support. You aren’t just cleaning databases; you are interpreting results to help the business navigate variable issues that have a broad impact on Citi’s core activities.

  • Specialized Analysis: Use analytical tools to perform database administration, data quality checks, and architectural design support.

  • Risk Management: Ensure all data activities safeguard Citigroup’s assets by adhering to strict compliance, laws, and ethical conduct policies.

  • Strategic Coordination: Engage with resources outside your immediate team to achieve broader sub-functional objectives.

  • Systematic Communication: Translate complex data findings into clear, communicable reports that drive business transparency.


📊 Compensation & Salary Benchmarks (2026)

Based on verified 2026 data for Intermediate Analyst roles at Citi (primarily in Bengaluru, Mumbai, or Pune hubs):

Metric Details
Average CTC (1–7 Years) ₹12 LPA – ₹22 LPA
Median Salary ₹16.5 LPA (Highly dependent on specific years of experience).
Performance Bonus Typically 8% – 12% of annual base pay.
Market Comparison Citi’s Decision Management roles generally pay 15% higher than standard IT services firms for similar experience levels.

🎯 Required Tech Stack & Qualifications

  • Experience: 1–7 years of relevant experience in data management or analytics.

  • Analytical Tools: Mastery of SAS (E-miner), SQL, and SPSS.

  • Modern Data Science: Hands-on experience with Python or R for Big Data and Machine Learning applications.

  • Software Proficiency: Expert-level Microsoft Excel for reporting and data manipulation.

  • Soft Skills: Developed diplomacy and communication skills to handle sensitive/complex information.


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