Overview 

The Data Capability Tooling Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business.  

The primary purpose of this role is to perform data analytics and data analysis across different asset classes, and to build data science/Tooling capabilities within the team. This will involve working closely with the wider Enterprise Data team, in particular the front to back leads to deliver business priorities. 

The following role is within B & I Data Capabilities team within the Enterprise Data The team manages the Data quality/Metrics program in addition to a broad remit to implement and embed improved data governance and data management practices throughout the region. The Data quality programme is centred on enhancing Citi’s approach to data risk and addressing regulatory commitments in this area. 

 
Key Responsibilities: 

Conducts strategic data analysis, identifies insights and implications, and make strategic recommendations, develops data displays that clearly communicate complex analysis. 

• Conduct, Review, Analyze and Build/Engineer data Capability tools and Software Components 

• Develops and articulates business requirements and maps current and future state processes.  

• Build or advise operational model and analysis bespoke to each use case. 

• Build data science capabilities using Python/Analytical tools. 

• Ability to perform complex data analytics (data cleansing, transformation, joins, aggregation etc.) on large complex datasets. 

• Build analytics dashboards using PowerBI/Tableau. 

• Produce high quality supporting business data analysis for asset classes, financial products, systems, reports in fast paced environment. 

• Communicate complicated findings and propose solutions to a variety of stakeholders. 

• Understanding business and functional requirements provided by business analysts and convert into technical design documents. 

• Work closely with cross-functional teams e.g. Business Analysis, Product Assurance, Platforms and Infrastructure, Business Office, Control and Production Support. Prepare handover documents and manage SIT, UAT and Implementation. 

• Demonstrate an in-depth understanding of how the development function integrates within overall business/technology to achieve objectives; requires a good understanding of the banking industry. 

• Design, Implement, Integrate, and test new features. 

• Explore existing application systems, determines areas of complexity, potential risks to successful implementation. 

• Contributes to continual improvement by suggesting improvements to software architecture, software development process and new technologies etc. 

• Performs other duties and functions as assigned. 

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. 

Skills & Qualifications 

Experience in Financial Services or Finance IT is a required. 

• Some experience in Data Tracing/Data Lineage/Metadata Management Tools 

• Good knowledge of Python 3.x  

• Good knowledge of ETL methodology and knowledge in one or more of Knime, Alteryx, Informatica, Abinitio, AWS Glue. 

• Strong Knowledge in one or more of the BI visualization tools such as Tableau, PowerBI. 

• Very Good knowledge of RDBMS-one or more of the following Oracle, MySQL. 

• Ability to write complex SQL needed to investigate data issues and analyze legacy data. 

• Proven experience in working for complex data warehouse. 

• Knowledge of automation tools like Power Automate, Selenium etc. 

• Strong Story Boarding and Communication Skills. 

• 6-10 years' experience using tools for statistical modelling of large data sets. 

• Process Improvement or Project Management experience. 

 
Education: 

• Bachelor's/University degree, master's degree in information systems, Business Analysis / Computer Science.