Position: Business Analytics Young Apprentice - C00
Company: Citi (Citigroup)
Location: Gurugram, Haryana, India
Job type: Full-time
Job mode: Hybrid
Job requisition id: 261008599
Years of experience: 0-1 Year (Freshers eligible, less than 12 months experience) [Graduation Timeline: Candidates must have a formal graduation date falling strictly between December 2022 and June 2026]
Company description
Citi is a global financial services powerhouse with a legacy of providing world-class banking and wealth management solutions to millions of clients worldwide.
Operating across dozens of countries, the institution brings together over 219,000 to 230,000 dedicated professionals globally to drive innovative financial execution.
The company fosters an inclusive environment that values diverse perspectives, continuous professional growth, and global internal mobility across its core functions.
At Citi, employees have access to robust career development infrastructure designed to turn foundational knowledge into long-term organizational success.
The global workforce spans multiple business divisions including Banking, Markets, Services, Wealth, Technology, Risk and Control, Internal Audit, and Human Resources.
The organization is deeply committed to giving back to local communities while making a tangible economic impact across international markets.
As an equal opportunity employer, the institution maintains strict non-discrimination practices across all aspects of recruitment, onboarding, and career progression.
Employees are supported through world-class benefits packages engineered to foster individual well-being, healthy work-life balance, and continuous skill acquisition.
The Analytics and Information Management (AIM) division within Citi serves as a central engine driving data-centric digital transformation across global banking operations.
The organization continually invests in early career programs, apprenticeships, and specialized domain training to shape the next generation of financial technology leaders.
Profile overview
The Business Analytics Young Apprentice role within the Analytics and Information Management (AIM) team is a comprehensive 12-month immersive early career opportunity.
Beginning in December or January with an intensive induction, the program provides apprentices with an structured orientation to Citi’s global business matrix and tech infrastructure.
Apprentices will work directly on real-world business challenges, leveraging strategic decision-making, statistical modeling, data visualization, and automated workflow design.
The role demands using Hive, Python, and SQL to analyze massive datasets, extracting key trends across the entirety of the financial customer lifecycle.
Selected candidates will take direct ownership of analytics projects, converting complex organizational problems into high-value operational and financial solutions.
The position focuses heavily on developing core sub-field domain expertise, including new customer acquisition, customer retention, campaign effectiveness, and product pricing optimization.
Participants will participate in regular cross-functional collaboration, working alongside cross-functional global business leaders to translate complex analytical findings into actionable strategy.
Key day-to-day operations include processing structured and unstructured datasets, eliminating operational redundancies via scripting, and building interactive enterprise dashboards.
Apprentices are expected to actively participate in internal organizational building activities, competency enhancement workshops, and peer-to-peer technical knowledge sharing.
The apprenticeship serves as a fast-track pathway designed to accelerate long-term career growth within financial analytics and global management.
Candidates will operate in a dynamic, high-volume hybrid work setup in Gurugram, maintaining consistent communication across multi-disciplinary operational teams.
The program equips participants with full project lifecycle exposure, spanning raw data extraction and validation to final stakeholder presentations.
Trainees will refine their ability to build robust data pipelines, evaluate banking product performance, and optimize digital customer journeys using modern analytics tools.
Candidates will gain comprehensive insight into international banking operations, risk governance frameworks, and data protection standards.
Successful candidates will establish a strong internal network across Citi's global divisions, positioning themselves for sustainable long-term career progression.
The program serves as a critical bridge between academic preparation and enterprise-level financial analytics execution.
Apprentices will gain practical hands-on experience handling complex relational databases, enterprise mainframes, and modern big data ecosystems.
The role emphasizes proactive problem-solving, high adaptability, global strategic thinking, and resilient execution within a fast-paced environment.
Participants will contribute directly to bottom-line economic value through high-precision data cleaning, pattern recognition, and trend forecasting.
The position offers direct exposure to industry-leading enterprise tools including Python, SQL, Teradata, SAS, Tableau, and advanced MS Office automation scripts.
Qualifications
Educational Background: Pursuing or completed a Bachelor’s or Master’s degree in any discipline, with specific emphasis on Information Technology, Information Systems, Computer Applications, Data Science, Business Analytics, or MCA.
Graduation Timeline: Candidates must have a formal graduation date falling strictly between December 2022 and June 2026.
Work Experience Threshold: Must possess less than 12 months of prior professional work experience, making the role ideal for freshers and early-career entry-level candidates.
Statutory Requirement: Applicants must not possess an active ESIC or EPF account prior to joining the apprenticeship program.
National Portal Registration: Shortlisted candidates must successfully register themselves as an official apprentice via the Indian government apprentice portal.
Domestic Mobility: Must possess the flexibility and willingness to relocate domestically to Gurugram, Haryana, India for the duration of the program.
Technical Programming Proficiency: Hands-on expertise in querying, manipulating, and analyzing complex datasets using Python and Hive/SQL.
Big Data Infrastructure: Familiarity or working knowledge of Big Data frameworks, Hadoop environments, and enterprise data processing routines.
Advanced Database Knowledge: Exposure to working with enterprise database engines such as Teradata, SAS platforms, and SQL environments.
Business Intelligence Tools: Demonstrated proficiency in building, deploying, and maintaining interactive dashboards using Tableau for business reporting.
Advanced Productivity Tools: Expert-level skills in MS Excel, PowerPoint, Access, MS Word, and writing custom VBA scripts for workflow automation.
Statistical & Machine Learning Competency: Solid understanding of core statistical concepts, machine learning techniques, pattern recognition, and data quality metrics.
Mathematical Modeling: Ability to formulate structured analytical methodologies, isolate operational anomalies, and uncover subtle data patterns.
Problem Solving Aptitude: Superior quantitative analysis skills with a proven track record of breaking down complex scenarios into logical components.
Communication Capabilities: Articulate written and verbal communication abilities required to explain technical findings to non-technical business partners.
Analytical Curiosity: Natural inclination toward continuous learning, creative brainstorming, and global business problem decomposition.
Resiliency & Adaptability: Demonstrated capacity to perform consistently in a fast-changing, high-volume operational environment.
Collaborative Mindset: Ability to work seamlessly both as an independent initiative-taker and as a constructive team member within matrixed organizations.
Project & Process Management: Strong organizational capabilities with a disciplined approach to managing project milestones and deliverable timelines.
Domain Exposure: Prior foundational exposure to data analytics, statistical modeling, or financial services data pipelines is considered a strong advantage.
Additional info
Program Duration: The apprenticeship is structured as a dedicated 12-month full-time early career development contract in India.
On-the-Job Training: Provides structured practical training across multiple Citi divisions including Banking, Markets, Services, Wealth, Operations, Technology, and Risk Control.
Customer Lifecycle Impact: Direct involvement in optimizing customer acquisition pipelines, cross-selling analytics, retention modeling, and campaign ROI assessment.
Payment & Pricing Analytics: Opportunities to work on revenue optimization, payment processing mechanics, and dynamic banking product pricing frameworks.
Audit & Regulatory Compliance: Hands-on exposure to global financial audit frameworks, data governance standards, and international banking regulatory requirements.
Mainframe & Enterprise Systems: Optional exposure to mainframe systems, SAS on Mainframe, and enterprise-scale financial infrastructure.
Continuous Mentorship: Direct interaction with senior data scientists, business managers, and analytical architects across global offices.
Network Expansion: Dedicated networking forums, tech workshops, and global peer connect sessions throughout the 12-month tenure.
Process Automation Focus: Primary focus on eliminating manual reporting tasks through Python scripts, SQL macros, and automated spreadsheet models.
Diversity & Inclusion Focus: Citi actively encourages applications from candidates of all backgrounds, prioritizing equal opportunity across all teams.
Accommodation Services: Dedicated support structures available for candidates requiring disability accommodations during the application and selection process.
Structured Induction: The program initiates with an intensive orientation introducing company culture, technical tools, and business operations.
Strategic Decisioning: Emphasizes translating multi-source transactional data into executive decision supports and interactive dashboards.
Internal Mobility Culture: Successful completion offers pathways to explore long-term career growth opportunities across Citi’s global network.
High-Impact Deliverables: Apprentices carry real delivery responsibilities from day one, contributing directly to team output and operational goals.
Domain Broadening: Encourages building expertise in specific sub-fields while maintaining a macro-level understanding of connected financial services lines.
Enterprise Analytics Community: Integration into Citi's global AIM community, connecting thousands of analytics professionals worldwide.
Innovative Environment: Encourages creative thinking, global business alignment, and the deployment of modern analytical toolsets.
Equal Opportunity Commitment: Selection is strictly merit-based, evaluating candidate potential, technical curiosity, and analytical alignment.
Work Environment: Modern hybrid working model combining collaborate in-office dynamics in Gurugram with flexible remote capabilities.
Please click here to apply.
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