Citi—Predictive Analytics Analyst - Python, PySpark

Job description

Description: 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 (C10) 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 QUALIFICATIONS Experience: - Bachelor’s Degree with 3+ years of experience in data analytics or Masters Degree with 2+ years of experience in data analytics - Must have: - Identifying and resolving business problems (around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention) preferably in the financial services industry - Leveraging and developing analytical tools and methods to identify patterns, trends and outliers in data - Applying Predictive Modeling techniques for a wide range of business problems - Working with data from different sources, with different complexities, both structured and unstructured - Utilizing text data to derive business value by leveraging different NLP techniques - Good to have: - Experience working with data from different sources and of different complexity 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, PySpark and related tools - Experience in Hive - Proficient in MS Excel, PowerPoint - Good to have: - Experience with PySpark - 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 ------------------------------------------------------ Job Family Group: Decision Management------------------------------------------------------ Job Family: Business Analysis------------------------------------------------------ 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.------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.