Citi
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Analytics and Information Management (AIM)
Citi AIM was established in 2003, and is located across multiple cities in India – Bengaluru, Chennai, Pune and Mumbai. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.
What do we do?
The North America Consumer Bank – Customer Experience (CX) Analytics is a specialized function dedicated to understanding, measuring, and improving the interactions and overall satisfaction of customers across all touchpoints with the bank. In today’s competitive financial services landscape, delivering a seamless and positive customer experience is critical for retention, loyalty, and growth. Citibank leverages CXA to ensure that every customer journey—from opening an account to resolving a dispute—is as smooth and satisfactory as possible. The team collects, analyzes, and interprets customer feedback and interaction data across channels (phone, online, branch, etc.) to identify pain points, trends, and opportunities for service improvement. The team uses these insights to enhance customer satisfaction, streamline processes, and inform business decisions to improve overall customer experience.
The Spec Analytics Analyst is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
Incumbents in this role may often be referred to as Data Scientists
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Hands-on Experience in Python, SQL & Machine Learning (ML) is a must.
Experience with PySpark, Natural Language Processing (NLP), Large Language Models (LLM/Gen AI), and prompt engineering is preferred.
Writing clean, efficient, and well-documented code according to design specifications and coding standards.
Utilizing version control systems (e.g., Git) to manage code changes, collaborate with team members, and maintain code history.
Configuring and maintaining automated build processes (e.g., using Jenkins) to compile code, run unit tests, and create deployable artifacts.
Ability to execute the code testing in Dev & UAT environments
Automate deployment pipelines, follow release procedures, verify post-deployment, and troubleshoot production issues, if any.
Understand dependencies, design/consume APIs, ensure data flow integrity, resolve integration issues, and maintain architectural awareness.
Capability to validate/maintain deployed models in production
Candidates with a background in Customer Experience (CX) analytics is preferred.
Exposure to Credit card business is a strong plus for this position.
Familiarity with the Software Development Life Cycle (SDLC) is preferred.
Prior experience of Sprints deployment cycle is preferred.
Bachelor’s Degree with atleast 4 years of working experience OR Master’s Degree with 5 years of working experience.
Possess analytic ability and problem solving skills
Working experience in a quantitative field
Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
Ability to build partnerships with cross-functional teams
Bachelors/University degree in Computer Science Engg. / IT is preferred.
Decision Management
Specialized Analytics (Data Science/Computational Statistics)
Full time
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.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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