IVR AI Analytics Intermediate Analyst - C11

Citi; Chennai District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Citi is seeking an IVR AI Analytics Analyst to manage reporting and analytics for the IVR Conversational AI platform. The role focuses on developing AI analytics, reporting, and dashboards aligned with product plans and strategies, coordinating across product lines through their lifecycles.

The candidate will lead data manipulation, statistical analysis, and production-ready reporting, leveraging SAS, SQL, and Tableau to deliver insights and dashboards for the IVR system.

Qualifications

• 7+ years in data analysis, reporting, and automation.
• 3-5 years with DBMS tools.
• Knowledge of Citi CRS, Brands & Retail Bank data.

Responsibilities

• Develop AI analytics and dashboards for the IVR Conversational AI platform.
• Build analytics around the system and coordinate with Product Management during lifecycle.
• Create production-ready Tableau dashboards and automated reports.

Skills

SAS programming

SQL querying

Tableau dashboards

Analytics reporting

Education

Bachelor's degree

Master's degree preferred

Tools

Autosys

Control-M

Qualtrics

Hive/BigData

Enterprise Data Warehouse

Job description

The IVR AI Analytics Analyst is a intermediate level position responsible for managing a broad range of reporting and analytics for the IVR Conversational AI platform. This role will be responsible for the development of AI Analytics and reporting and Dashboards with product plans, strategies, and tactics while coordinating product lines through product life-cycles in coordination with the broader Product Management team. The overall objective of this role is to develop reporting and Dashboards for the IVR Conversational AI and build several Analytics around the system.

Experience:

• Minimum of 7 years of overall experience in data analysis, reporting, and automation.
• At least 3-5 years of hands-on experience working with Database Management Systems (DBMS) tools.
• Knowledge of Citi’s CRS, Brands & Retail Bank data

Technical Proficiency (Must-Have):

• Strong and advanced proficiency in SAS: Demonstrated expertise in SAS programming for data manipulation, statistical analysis, and report generation.
• Strong and advanced proficiency in SQL: Expert-level SQL skills for complex querying, data extraction, and database management across various platforms

Technical Proficiency (Add-on/Desired):

• Experience with job scheduling tools such as Autosys or Control-M.
• Familiarity with Enterprise Data Warehouses, Qualtrics, Hive/BigData, and EAP platforms.
• Experience with banking and Financial Services Automation initiatives will be an added advantage
• In-depth understanding of the Systems Development Life Cycle (SDLC) processes.
• Experience in developing Tableau Dashboards and moving them to a production state
• Knowledge in Gen AI and Prompting Certifications will be preferred

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

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Job Family Group:

Technology

Job Family:

Technology Quality

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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