Job Information
Citigroup Spec Analytics Intmd Analyst - C11 - BANGALORE in Bengaluru, India
What We do :
GWFO team supports capacity planning across the organization. The primary responsibility of the GWFO team is to forecast future demand (Inbound /Outbound Call Volume, back-office process volume, etc.) and the capacity required to fulfill the demand. It also includes forecasting short-term demand (daily/hourly) and scheduling the agent accordingly. The GWFO team is also responsible for collaborating with multiple stakeholders and coming up with optimal hiring plans to ensure adequate capacity as well as optimize the operational budget
Job Responsibility :
Streamlining data flow to build different cap plans
Design and build robust processes for long-term and short-term cap plans
Build innovative strategies for optimal agent hiring and maximizing the ROI of the operational budget
Participate in discussion with business partner to design and implement the long-term and short-term capacity plan
Mentor Junior team member
Qualification/Required Skill Set :
The successful candidate should be both a self-starter and quick learner , have critical logical thinking capability , be able to work with minimal guidance and will have
University degree in Statistics, Economics, Computer Science or related discipline with 5-8 years of relevant experience in Analytics
Excellent communication skills and experience in interacting successfully with multiple stakeholders across all levels within the organization
Ability to work independently and as a part of the team in a fast-paced, dynamic environment
Good Problem solving, Structured Thinking, Root Cause Identification skills along with ability to work in unstructured area
Experience with and Knowledge of building robust forecasting process using Time series Models
Relevant experience in transforming data sets and performing quantitative analysis using Python and PySpark
Good presentation and Storyboarding skill
Good to have Skill :
Knowledge of building Deep learning based Time Series Model
Knowledge of building queueing theory based algorithms in Python
Having Experience of using NICE and PAW Tool
Working experience in Banking and Financial Service domain
Relevant experience in Operations Analytics
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time
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Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.