Business Analytics Lead Analyst

About the role

Citibank, N.A. seeks a Business Analytics Lead Analyst for its Irving, TX location.

Responsibilities

• End-to-end support of retail bank decisioning through advanced analytics to design and optimize marketing strategies for retail banking products.
• Execute structured statistical testing and controlled design of experimentation frameworks to evaluate customer behavioral responses and optimize strategic initiatives through data-driven performance recommendations supported by quantifiable business metrics such as Balances, responders and average balances per customer.
• Establish and maintain Business As Usual (BAU) operating frameworks to support sustained performance of retail banking products and marketing portfolios while creating quarterly strategic and capital planning processes.
• Design and implement customer segmentation and behavioral analytics frameworks across transactional, digital, and profile-based datasets to support customer growth, engagement optimization, deposit deepening, and customer retention strategies.
• Engage with evaluation of offer and campaign performance through short-term and long-term behavioral and performance trend analysis, identifying risks to customer and balance retention and developing expansion and retention strategy to support portfolio stability and preventing hard/soft customer and balance attrition.
• Maintain risk, governance, and control documentation to support analytical methodologies and ensure alignment with internal risk and model governance standards.
• Develop forecasting and model financial simulation based scenarios to support program investment assessments, capital planning decisions, and long-term portfolio viability.
• Support financial review and approval processes to monitor profitability, risk-adjusted performance, and strategic funding priorities across retail banking initiatives.
• Build and maintain performance measurement and reporting frameworks to evaluate multi-channel retail marketing initiatives, developing and automating KPI dashboards using Excel, Tableau, and SQL.
• Translate complex data trends into business insights and executive ready materials to support senior leadership decision-making and cross-functional collaboration.
• Perform advanced analytical deep dives to validate hypotheses, improve predictive insights across customer behavior and attrition patterns, and identify business growth opportunities.
• Design and maintain automated data extraction, preprocessing, and transformation processes to improve data accuracy, workflow efficiency, and reliable BAU reporting delivery execution.
• Apply quantitative and qualitative analytical techniques using tools like Python, SAS, SQL, and Excel to support strategic and business expansion decision-making and portfolio optimization.

Requirements

• Bachelor’s degree, or foreign equivalent, in Computer Engineering, Business Analytics, Information Management, Finance, Marketing, or a related field, and six (6) years of experience in the job offered or in a related quantitative occupation performing advanced data analytics and business analytics to support strategy development and optimization of marketing and product initiatives.
• Six (6) years of experience must include: Understanding of statistical experimentation and market testing methodologies, including A/B testing and Design of Experiments, for customer segmentation and measurement of customer sensitivity across products, offers, and channels; Proficiency in statistical experimental design, financial simulation modeling, and forecasting techniques to support portfolio and program performance evaluation; Develop and maintain KPI dashboards and reporting tools using Excel, Tableau, and SQL, including drill-down and customization capabilities; Analyze customer behavior using statistical methods and tools such as SQL, Python, SAS, and Excel to identify growth opportunities and market insights; Collaborate with cross-functional teams including marketing, product, analytics, and risk/governance to support decision-making frameworks and documentation processes; and Capability to optimize data workflows and reporting processes by improving query efficiency, resolving bottlenecks, and enabling scalable delivery of business performance metrics.
• In the alternative, employer will accept a Master’s degree and four (4) years of experience. Employer will accept pre- or post-Master’s degree experience.
• 40 hrs./wk.

Qualifications

• Must be able to perform the essential functions of this position with or without reasonable accommodation.
• Must be able to travel up to 10% of the time.

Skills

• Understanding of statistical experimentation and market testing methodologies, including A/B testing and Design of Experiments, for customer segmentation and measurement of customer sensitivity across products, offers, and channels.
• Proficiency in statistical experimental design, financial simulation modeling, and forecasting techniques to support portfolio and program performance evaluation.
• Develop and maintain KPI dashboards and reporting tools using Excel, Tableau, and SQL, including drill-down and customization capabilities.
• Analyze customer behavior using statistical methods and tools such as SQL, Python, SAS, and Excel to identify growth opportunities and market insights.
• Collaborate with cross-functional teams including marketing, product, analytics, and risk/governance to support decision-making frameworks and documentation processes.
• Capability to optimize data workflows and reporting processes by improving query efficiency, resolving bottlenecks, and enabling scalable delivery of business performance metrics.

Benefits

Wage Range: $159,900.00 to $168,558.00
Job Family Group: Decision Management
Job Family: Business Analysis

Pay

$159,900.00 to $168,558.00

Schedule

Full time

Location

Irving, Texas, United States