(15h Left) Data 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 Data Information Mgt Analyst 2 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 The work involves setting up and optimizing data pipelines using big data technologies such as PySpark Scala and Hive The role will also include working with SQL and NoSQL databases e g MongoDB to manage and retrieve data effectively The role requires designing and deploying interactive Tableau dashboards to visualize data insights and provide stakeholders with actionable information using features such as Tableau Prep Flows Level of Detail LOD Expressions Table Calculations etc 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 enable 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 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 Good to have Experience in financial services Experience across different analytical methods like hypothesis testing segmentation time series forecasting test vs control comparison etc Skills Analytical Skills Strong analytical and problem-solving skills related to data manipulation and pipeline optimization Has the ability to work hands-on to retrieve and manipulate data from big data environments Ability to design efficient data models and schemas Tools and Platforms Proficient in Python R SQL Experience in PySpark Hive and Scala Strong knowledge of SQL and NoSQL databases such as MongoDB etc Proficiency with Tableau designing and deploying advanced interactive dashboards Proficient in MS Office Tools such Excel and PowerPoint 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 Data Information Management 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 View Citi s and the poster