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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 driving acquisitions, cross-sell, revenue growth, and improving client experience. The role involves working on data pipelines, producing insights with big data tools, and designing Tableau dashboards to support stakeholders.
Job Responsibility:
Setting up and optimizing data pipelines using big data technologies such as PySpark, Scala, and Hive
Working with SQL and NoSQL databases (e.g., MongoDB) to manage and retrieve data effectively
Designing and deploying interactive Tableau dashboards
Leveraging multiple analytical approaches, tools and techniques to enable data driven insights
Working on multiple analyses related to acquisition, engagement, client experience, and retention for the TTS business
Requirements:
Bachelor’s Degree with 4+ years of experience in data analytics, or Master’s Degree with 2+ years of experience in data analytics
Marketing analytics experience
Proficiency in designing and deploying Tableau dashboards
Strong experience in data engineering and building data pipelines
Experience with big data technologies such as PySpark, Scala, and Hive
Proficiency in SQL and experience with various database systems (e.g., MongoDB)
Nice to have:
Experience in financial services
Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison
What we offer:
Equal employment opportunities
Accessibility accommodations for individuals with disabilities
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