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We are seeking a highly experienced and strategic Officer/Analyst for our Business Analytics Team. The ideal candidate will be responsible for driving the development and implementation of analytical solutions to support key business objectives for Legal Operations as part of COO (Chief Operating Office). This role requires a strong leader with a proven track record of delivering impactful insights and fostering a data-driven culture.
Job Responsibility:
Incumbents would be primarily responsible for supporting Business Execution activities for Chief Operating Officer, implement analytical solutions to manage banking operations like spend and utilization insights with contextualized metrics
Create data visualization solutions and connect with Operations/Business to improve business processes. This role will include reporting & insights activities such as generating Tableau dashboards, creating business intelligence reports and visualizations
Interface between business and technology partners for digitizing data collection, including performance generation, validation rules for banking operations. Offer technical guidance and support in areas such as knowledge graph development, data extraction, and other technical aspects related to business execution and business analytics
Communicate findings and recommendations to senior management. Stay current with the latest trends and technologies in analytics. Ensure compliance with data governance policies and regulatory requirements
Work on Data Analytics, Insight Generation and Reporting activities using proven analytical techniques. Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include Process Automation / Optimization and data visualization techniques
Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
Incumbents in this role may often be referred to as Data Analyst. Develop and execute the analytics strategy – Data Ingestion, Reporting / Insights Centralization, expand analytic coverage, Rationalize, consolidate & convert existing manual reports into dashboards to cover key KPI with actionable insights
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, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
Act as senior analytics professional and work with them to deliver on organizational priorities
Requirements:
5+ years of experience in Business Analytics & Transformation roles with proficiency in data analytics tools/technologies like SQL, SAS, Python, PySpark, Tableau etc.
Strong understanding of data & analytics ecosystem, establish a scalable analytics framework – data strategy, process optimization, actionable insights, visualization techniques using Tableau, MicroStrategy
Proven experience in developing and working Tableau driven dashboards, finding hidden trends & analytics insights
Proven ability to translate complex data into actionable insights. Ability to leverage data analytics tools & techniques for analytics problem solving for organizational needs
Experience in Developing and Deploying AI solutions in partnership with Tech and Business
Experience with any banking operations (e.g., expense analytics, movement of funds, cash flow management, fraud analytics, ROI). Knowledge of regulatory requirements related to data privacy and security
Experience in interacting with senior stakeholders across the organization to be able to manage end-to-end conceptualization & implementation of data strategies - standardization data structures, identify and remove redundancies to optimize data feeds
AI / Gen AI proficiency and thought leadership in Financial/Business Analysis and/or credit/risk analysis with ability to impact key business drivers via a disciplined analytic process
Analytics thought leadership skills & Manage project planning effectively
In-depth understanding of the various financial service business models, expert knowledge of advanced statistical techniques and how to apply the techniques to drive substantial business results
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