Data Analytics Analyst

What do we do?
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, SQL
Experience in Hive
Proficient in MS Excel, PowerPoint
Good to have:
Experience 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.
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Job Family Group: Decision Management
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Job Family:Business Analysis
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Time Type:Full time
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Most Relevant Skills Please see the requirements listed above.
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Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
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