Specialized Analytics Lead Analyst

Citi • Irving, TX

7d • Hybrid

About The Position

Citibank, N.A. seeks a Specialized Analytics Lead Analyst for its Irving, TX location. Expertise in business and data analytics applied to U.S. consumer banking and retail financial products, including checking, savings, deposits, and branded credit cards. Experience analyzing large-scale customer data to develop segmentation, targeting, and predictive models that support customer acquisition, engagement, and portfolio growth. Demonstrated proficiency in omnichannel decisioning frameworks, including real-time and near-real-time trigger identification, next-best-action logic, and orchestration of customer outreach across digital and assisted channels using decision engines and analytics platforms. Strong background in experimentation, test-and-learn methodologies, and performance measurement to evaluate marketing effectiveness, forecast P&L impact, and optimize investment allocation under varying business conditions. Ability to apply quantitative methods to support P&L forecasting, scenario analysis, and resiliency planning, translate complex analytical insights into scalable strategies, and collaborate with cross-functional stakeholders to deploy data-driven solutions within enterprise data and decisioning platforms. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.

Requirements

• Bachelor’s degree, or foreign equivalent, in Engineering (any), Computer Science, Mathematics, or a related field.
• Six (6) years of experience in the job offered or in a related quantitative occupation developing analytical strategies and solutions.
• Advanced statistical techniques, including predictive modeling and segmentation, to analyze large scale datasets and support data driven strategies.
• Designing and executing statistical experimentation frameworks, including A/B or test and learn methodologies, to evaluate the performance of new initiatives and optimize business outcomes.
• Advanced analytical tools, including SQL, Tableau, and Advanced Excel, to work with large and complex datasets, generate insights, and produce analytical output.
• Articulating complex problems into clear, structured frameworks for solutioning with actionable recommendations for key leaders and stakeholders.

Responsibilities

• Develop segmentation, targeting, and predictive models that support customer acquisition, engagement, and portfolio growth.
• Utilize omnichannel decisioning frameworks, including real-time and near-real-time trigger identification, next-best-action logic, and orchestration of customer outreach across digital and assisted channels using decision engines and analytics platforms.
• Apply experimentation, test-and-learn methodologies, and performance measurement to evaluate marketing effectiveness, forecast P&L impact, and optimize investment allocation under varying business conditions.
• Apply quantitative methods to support P&L forecasting, scenario analysis, and resiliency planning.
• Translate complex analytical insights into scalable strategies.
• Collaborate with cross-functional stakeholders to deploy data-driven solutions within enterprise data and decisioning platforms.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior