Data/Information Mgt Analyst 2 - C10

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 focuses on driving acquisitions, cross-sell, revenue growth & improvements in client experience by extracting relevant insights, identifying business opportunities, and converting business problems into analytical frameworks. Utilizing big data tools and machine learning algorithms, the team builds predictive models and solutions, along with designing go-to-market strategies for a wide variety of business challenges. The role of Data/Information Mgt Analyst 2 (C10) in the TTS Analytics team involves working on multiple analyses throughout the year across the client life cycle acquisition, engagement, client experience, and retention for the TTS business. This role requires setting up and optimizing data pipelines using big data technologies like PySpark, Scala, and Hive, as well as working with SQL and NoSQL databases such as MongoDB for effective data management and retrieval. Additionally, the role involves designing and deploying interactive Tableau dashboards to visualize data insights and provide stakeholders with actionable information using features like Tableau Prep Flows, Level of Detail (LOD) Expressions, and Table Calculations. To qualify for this role, candidates should hold a Bachelor's Degree with 4+ years of experience in data analytics or a Master's Degree with 2+ years of experience in data analytics. Essential requirements include marketing analytics experience, proficiency in designing and deploying Tableau dashboards, strong experience in data engineering and building data pipelines, familiarity with big data technologies such as PySpark, Scala, and Hive, and proficiency in SQL with experience in various database systems. Experience in financial services and across different analytical methods like hypothesis testing, segmentation, time series forecasting, and test vs. control comparison are considered advantageous. The ideal candidate for this role should possess strong analytical and problem-solving skills related to data manipulation and pipeline optimization. They should have the ability to work hands-on to retrieve and manipulate data from big data environments, as well as design efficient data models and schemas. Proficiency in Python/R, SQL, PySpark, Hive, Scala, Tableau (designing and deploying advanced, interactive dashboards), and MS Office Tools such as Excel and PowerPoint is crucial. Soft skills required for this role include strong analytical and problem-solving abilities, excellent communication, and interpersonal skills, along with being organized, detail-oriented, and adaptive to a matrix work environment. If you are looking for a challenging opportunity to work with cutting-edge technologies in a dynamic and analytical role, this position might be the right fit for you.,