Reporting Insights and GenAI, Senior Analyst

Citi; Gurugram District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Citi in Gurugram is seeking a Senior Analyst for Reporting Insights and GenAI within Banking Operations & Analytics. You will drive analytics solutions that improve efficiency, accuracy, and decision-making through data-driven insights and automated processes.

The role requires hands-on experience with SQL, Python, and BI tools, plus a strong track record in developing reports, dashboards, and AI-powered applications in a financial context.

Qualifications

• 5+ years of experience in Reporting & Automation, Reporting Insights and GenAI with proficiency in BI tools/technologies.
• Experience developing automated reporting solutions and data pipelines.
• Strong track record of delivering insights to business stakeholders.

Responsibilities

• Data collection, cleaning, and analysis to identify trends and insights for Banking Operations & Analytics.
• Design, develop, and maintain MIS and dashboards for stakeholders using Tableau/Power BI.
• Identify automation opportunities, develop scripts, and implement automated workflows.
• Lead AI/GenAI initiatives including NLP, ML models, and LLM-based solutions.

Skills

Data analysis

Data manipulation & querying

Reporting & visualization

Automation

Applied AI/GenAI

Problem solving

Stakeholder communication

Education

Bachelor's degree in STEM

Master's degree preferred

Tools

SQL

SAS

Python

Tableau

Power BI

MicroStrategy

GenAI tools / LLM tooling

Job description

Reporting Insights and GenAI, Senior Analyst – Analytics & Information Management (AIM), Gurugram

Excited to grow your career?

We are seeking an experienced and strategic Senior Analyst for our Reporting Insights and GenAI Team. The ideal candidate will be responsible for driving the development and implementation of analytical solutions to support key business objectives for Banking Operations & Analytics as part of COO (Chief Operating Office). This role requires a strong analyst with a proven track record of delivering impactful insights and fostering a data-driven culture.

Roles and Responsibilities

• The Reporting Insights and GenAI Senior Analyst (Banking Operations & Analytics) accomplishes results by contributing significantly to the bank's success by focusing on improving efficiency, accuracy, and insights through data and process optimization. The responsibilities involve a blend of data analysis, report generation, and the development of automated solutions.
• Data Collection and Analysis: Gathering data from various sources, cleaning it, and analyzing it to identify trends, patterns, and insights relevant to business operations.
• MIS and Reporting: Designing, developing, and maintaining regular and ad-hoc Management Information Systems (MIS) and reports for different stakeholders. These reports often present key performance indicators (KPIs), operational metrics, and financial data in an understandable format.
• Automation Development: Identifying manual, repetitive tasks and processes within the organization and developing automated solutions to streamline them. This can involve scripting, using automation tools/technologies like SQL, SAS, Python, PySpark, Tableau etc.
• Process Improvement: Analyzing existing workflows to pinpoint inefficiencies and recommend improvements, often leveraging automation to achieve these.
• Dashboard Creation: Developing interactive dashboards using reporting tools (e.g., Tableau, Python, Power BI) to provide real‑time visibility into performance and trends.
• Applied AI and GenAI Integration: Leading the exploration, development, and integration of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) solutions. This includes leveraging Large Language Models (LLMs), Natural Language Processing (NLP), and predictive analytics to enhance data‑driven decision‑making and automate complex analytical processes.
• Stakeholder Communication: Presenting findings and recommendations to various departments and management, explaining complex data in a clear and concise manner.
• System Maintenance: Ensuring the accuracy and reliability of reporting systems and automation tools, troubleshooting issues, and performing regular updates.
• Documentation: Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include Process Automation / Optimization and data visualization techniques.
• Data Governance and Quality: Contributing to efforts to maintain data quality, consistency, and adherence to data governance policies.
• Data Handling: Work with large, complex and unstructured data to evaluate, recommend, and support the implementation of business strategies.

Core Competencies

• Data Analysis & Insight Extraction: Proficiently applying analytical techniques to complex datasets to fetch meaningful, actionable insights that address business questions and drive decision.
• Data Manipulation & Querying: Expert ability to query and manipulate data from various data sources (using SQL/Python/R), ensuring data quality and readiness for analysis and reporting.
• Reporting & Visualization Tools: Expertise in using reporting & visualization platforms (e.g., Tableau, Power BI, Qlik Sense, MicroStrategy) to design, develop, and maintain dynamic dashboards and reports that clearly communicate performance and insights. This includes a strong focus on MIS and executive-level reporting.
• Automation Technologies & Scripting: Strong capability in identifying automation opportunities, developing and implementing automated solutions using automation tools and scripting languages, and optimizing existing automated workflows.
• Applied AI/ML and GenAI: Strong understanding and practical application of machine learning concepts, predictive modeling, and Generative AI technologies, including prompt engineering and experience with LLMs, to solve business problems.
• Problem‑Solving: Proactively identifying issues and developing practical, value‑driven solutions.

Qualifications

• 5+ years of experience in Reporting & Automation, Reporting Insights and GenAI with proficiency in business intelligence tools/technologies like SQL, SAS, Python, Tableau, MicroStrategy, etc.
• Ability to develop scripts for automating routine tasks (e.g., Python scripting for file processing, API integrations).
• Experience demonstrating a strong track record in developing reports, performing data analysis, and implementing automation solutions.
• Strong understanding of the reporting and automation data & analytics ecosystem; ability to establish a scalable analytics framework – data strategy, process optimization, actionable insights, visualization techniques.
• Demonstrable experience in developing and deploying AI/ML models (e.g., for forecasting, classification, NLP) or GenAI‑powered applications in a business or financial context.
• Hands‑on experience with AI/ML frameworks and libraries (e.g., Scikit‑learn, TensorFlow, PyTorch) and familiarity with prompt engineering techniques for Large Language Models (LLMs).
• Experience with any banking operations (e.g., expense analytics, movement of funds, cash flow management, fraud analytics, ROI). Knowledge of regulatory requirements related to data privacy and security.

Education

Bachelors/University degree in STEM, Master’s degree preferred

Job Family Group

Decision Management

Job Family

Data/Information Management

Time Type

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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