Senior Analyst in Data and Analytics

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Job Overview

The Business Analysis Group Manager is a senior management-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.

Responsibilities:

• Manage multiple teams of business analysts supporting multiple systems or over a business analysis functional area (depending on size of business) with responsibilities including work allocation, budget and planning, performance evaluation, compensation, staffing and other duties as assigned
• Provide technical leadership and expertise to ensure the efficient design, development and implementation and to ensure essential procedures are followed
• Develop strategy and guidelines for appropriate staffing requirements, exercising control over resources, budget management and planning and contributing to defining standards
• Resolve issues that have impact beyond own area and apply in-depth understanding of business analysis concepts and procedures and basic knowledge of other areas
• Work as a team to achieve objectives and influence and negotiate with senior leaders across functions, communicating with external parties as needed
• Provide evaluative judgment based on analysis of information in complicated, unique and dynamic situations, drawing on diverse range of internal and external sources
• 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.

Qualifications:

• 10+ years of relevant experience
• Demonstrated leadership
• Consistently demonstrate clear and concise written and verbal communication
• Proven interpersonal skills with ability to partner and influence across organizational lines
• Proven ability of using complex analytical, interpretive and problem-solving techniques

Education:

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred

• Lead dailyend-to-end data insight for Derivatives products (Equities, FX, IRS, Commodities) and SFT (Repo, Reverse Repo, Securities Lending and Borrowing) 
• Design and implement advanced analytical models within Tableau (LOD expressions, table calculations, blended data sources) to surface meaningful business insights
• Define and own the data visualization strategy, establishing standards, best practices, and governance frameworks for Tableau 
• Prompt Engineering & GenAI: Proficiency in designing LLM-driven data exploration workflows and AI-powered insight generation pipelines
• Strong knowledge of structured and unstructured databases, cloud data platforms (Snowflake, Databricks, BigQuery), and data lakehouse architectures
• Advanced data analysis: SQL (complex queries, window functions, optimization), Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly), PySpark for large-scale data processing
• Data modeling: Strong command of dimensional modeling, star/snowflake schemas, and semantic layer design optimized for BI consumption
• Data visualization skills – can help in creating visual representation of data models and provide input to UX / UI team to help make it easier to communicate complex model relationships with stakeholders

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