The TTS Analytics team provides analytical insights to the Product, Pricing,
Client Experience and Sales functions within the global Treasury & Trade
Services business. The team works on business problems focused on driving
acquisitions, cross-sell, revenue growth & improvements in client
experience.
The team extracts relevant insights, identifies business opportunities,
converts business problems into analytical frameworks, uses big data tools
and machine learning algorithms to build predictive models & other
solutions, and designs go-to-market strategies for a huge variety of
business problems.
ROLE DESCRIPTION
The role will be Spec Analytics Intmd Analyst (C11) in the TTS Analytics
team
The role will report to the AVP leading the team
The role will involve working on multiple analyses through the year on
business problems across the client life cycle – acquisition, engagement,
client experience and retention – for the TTS business
This will involve leveraging multiple analytical approaches, tools and
techniques, working on multiple data sources (client profile &
engagement data, transactions & revenue data, digital data, unstructured
data like call transcripts etc.) to provide data driven insights to business
and functional stakeholders
QUALIFICATIONS
Experience:
Bachelor’s Degree with 5-8 years of experience in data analytics, or
Master’s Degree with 4-8 years of experience in data analytics, or PhD.
Must have:
Marketing analytics experience
Experience on business problems around
sales/marketing strategy optimization, pricing optimization, client
experience, cross-sell and retention
Experience across different analytical methods like
hypothesis testing, segmentation, time series forecasting, test vs.
control comparison etc.
Predictive modeling using Machine Learning
Experience with unstructured data analysis, e.g. call transcripts, using
Natural language Processing (NLP)/ Text Mining
Good to have:
Experience in financial services
Experience working with data from different sources and of different
complexity
Skills:
Analytical Skills:
Strong logical reasoning and problem solving ability
Proficient in converting business problems into analytical tasks, and
analytical findings into business insights
Proficient in formulating analytical methodology, identifying trends and
patterns with data
Has the ability to work hands-on to retrieve and manipulate data from big
data environments
Tools and Platforms:
Proficient in Python/R, SQ
L
Experience in Hive
Proficient in MS Excel, PowerPoint
Good to have:
E
xperience with PySpark
Experience with Tableau
Soft Skills:
Ability to identify, clearly articulate and solve complex business problems
and present them to the management in a structured and simpler form
Should have excellent communication and inter-personal skills
Strong process/project management skills
Ability to coach and mentor juniors
Contribute to organizational initiatives in wide ranging areas including
competency development, training, organizational building activities etc.