Specialized Analytics Lead Analyst

Citi; Irving (TX); On-site; USD 165,000 - 201,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Life, accident, and disability ins.

Wellness programs

Paid time off

Job summary

Citi in Irving, Texas seeks a Specialized Analytics Lead Analyst to apply analytics to U.S. consumer banking and retail products, including checking, savings, deposits, and branded cards.

The role focuses on segmentation, predictive modeling, and omnichannel decisioning to drive customer acquisition and portfolio growth. Candidates will design experiments, forecast P&L impact, and translate insights into scalable strategies while collaborating with cross-functional teams.

Qualifications

• Six years of experience developing analytical strategies and solutions.
• Expertise in predictive modeling and segmentation for large datasets.
• Ability to design and execute statistical experiments (A/B/test & learn).
• Proficiency with SQL, Tableau, and Advanced Excel for analytics output.
• Ability to translate complex problems into actionable recommendations for leaders.

Responsibilities

• Apply analytics to U.S. consumer banking and retail products to develop segmentation and predictive models.
• Support customer acquisition, engagement, and portfolio growth via analytics and decisioning.
• Develop experimentation frameworks and measure performance to optimize marketing outcomes.
• Collaborate with cross-functional teams to deploy data-driven solutions on enterprise platforms.

Skills

Advanced statistics

Predictive modeling

Segmentation

A/B testing

SQL

Tableau

Advanced Excel

Education

Bachelor’s degree or foreign equivalent in Engineering/CS/Mathematics

Tools

SQL

Tableau

Advanced Excel

Job description

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

Duties

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, and six (6) years of experience in the job offered or in a related quantitative occupation developing analytical strategies and solutions. Six (6) years of experience must include: 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; and Articulating complex problems into clear, structured frameworks for solutioning with actionable recommendations for key leaders and stakeholders. 40 hrs./wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID# 26978369. EO Employer.

Wage Range: $183,100.00 to $183,100.00

Job Family Group: Decision Management

Job Family: Specialized Analytics (Data Science/Computational Statistics)

Time Type: Full time

Primary Location: Irving Texas United States

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

• 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

For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right

Anticipated Posting Close Date

Oct 02, 2026

Equal Opportunity Employment

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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