🏢 Citigroup
Business Analyst with Automation
💼 Fulltime
📍 Gurugram, Haryana, India
💰 Salary Insights
₹12 LPA – ₹15 LPA (industry‑standard for Analyst roles at Citi in India)
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🛠 Skills Required
Python
PySpark
SQL
Tableau
Hive
Impala
Generative AI
Data Visualization
Automation
Data Quality Assurance
Business Analytics
Communication
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Don't miss this opportunity!
Apply before 07 Nov 2026 — only 11 days left
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📚 Free Study Materials (4)
Aptitude Practice Questions
Curated quantitative and logical reasoning problems to sharpen the skills needed for the online assessment.
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Technical Interview Preparation Guide
Comprehensive guide covering data structures, algorithms, and system design concepts frequently asked in Citi technical rounds.
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Citi Interview Insights
Specific interview experiences, question patterns, and tips shared by past candidates for analyst roles at Citi.
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Coding Practice Problems
Extensive problem set to practice coding in Python and SQL, essential for the technical screening stage.
Open Resource ↗
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🎯
Don't miss this opportunity!
Apply before 07 Nov 2026 — only 11 days left
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online Assessment (aptitude, logical reasoning, and basic coding). → Round 2: Technical Interview (Python, SQL, PySpark, Tableau, big‑data concepts). → Round 3: HR Interview (fit, motivation, and cultural alignment).
🏢 Work Culture
Citi promotes a collaborative, globally‑connected work culture where employees are encouraged to innovate and take ownership of projects. The firm offers structured learning programs, mentorship, and a balanced approach to work‑life integration, allowing analysts to grow both technically and professionally.
🎤 Interview Experience
Citi’s interview process typically spans three rounds: an online aptitude test, a technical interview focusing on Python, SQL, and data‑visualisation concepts, followed by an HR discussion on cultural fit and career aspirations. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear communication of analytical thinking.
✅ Eligibility Criteria
Degree: B.E., B.Tech., M.E., or M.Tech. in Computer Science, Information Technology, Electronics, or related engineering streams. Minimum aggregate: 60% (or CGPA 6.5/10). Batch: Graduates from 2020 onward (to satisfy 2–4 years of experience). No active backlogs at the time of application. Candidates must possess a valid work permit for India.
📋 About the Role
Citi, a leading global financial services firm, operates in more than 160 countries, offering banking, payments, risk management, and investment solutions. In India, Citi has built a strong presence across major metros, fostering a culture of innovation, diversity, and continuous learning. Employees benefit from exposure to cutting‑edge financial technology, cross‑border collaboration, and a robust mentorship ecosystem that accelerates career growth.
The Business Analyst with Automation role sits within Citi’s Decision Management and Business Analysis families, focusing on turning massive volumes of digital and retail data into actionable insights. Reporting to the Digital Analytics Lead, the analyst will blend data engineering, visualization, and business acumen to drive performance improvements for Citi’s consumer‑facing platforms. The position is hybrid, with a blend of on‑site collaboration in Gurugram and remote work, enabling flexibility while maintaining close ties with business stakeholders.
Key Responsibilities:
1. Acquire, cleanse, and transform large‑scale datasets from multiple sources using Python, PySpark, and SQL.
2. Design, develop, and maintain automated data pipelines that feed daily and weekly reporting cycles.
3. Build interactive Tableau dashboards and visual reports that surface digital performance metrics and customer behaviour trends.
4. Conduct data quality audits, identify inconsistencies, and implement corrective actions to ensure reliable analytics.
5. Translate complex analytical findings into clear business recommendations for non‑technical stakeholders.
6. Collaborate with product, marketing, and risk teams to gather requirements and refine analytics frameworks.
7. Leverage big‑data technologies such as Hive and Impala to query and analyse petabyte‑scale data.
8. Explore Generative AI tools to prototype rapid insights and automate repetitive analytical tasks.
9. Document processes, maintain version‑controlled code repositories, and ensure compliance with Citi’s data governance policies.
10. Participate in continuous improvement initiatives, suggesting enhancements to reporting tools, automation scripts, and analytical methodologies.
Tech Stack: Python, PySpark, SQL, Tableau, Hive, Impala, Git, Linux, and optional Generative AI platforms (e.g., ChatGPT, Claude). The role offers a clear growth path—from Analyst to Senior Analyst, then to Manager or Product Owner—supported by Citi’s internal learning platforms, certifications, and global mobility programs. Joining Citi provides exposure to world‑class financial data, a collaborative environment that values curiosity, and a compensation package that is competitive within the industry. The blend of technical depth, business impact, and global reach makes this an attractive opportunity for ambitious data professionals.
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📋 Quick Info
JOB ID
C2056-J347
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
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