Business 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 Business Analytics Analyst 2 in the TTS Analytics team
• The role will report to the AVP/VP 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

Experience:

• Bachelor’s Degree with 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics

Must have:

• Marketing / Sales / Customer analytics experience
• Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
• Predictive modeling using Machine Learning
• Experience in Pyspark / Python + SQL

Good to have:

• Experience in financial services
• Digital Marketing and/or Digital Experience domain knowledge
• Experience with unstructured data analysis, e.g. call transcripts, using Natural language Processing (NLP)/ Text Mining

Skills:

Analytical Skills:

• 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 PySpark, Hive and Scala
• Proficient in MS Excel, PowerPoint
• Good to have:
• Experience with Tableau

Soft Skills:

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Be organized, detail oriented, and adaptive to matrix work environment