Business Analytics Senior Lead Analyst - Senior Vice President
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Valuable position for a candidate with a wealth of experience, offering a high compensation range and significant responsibilities within Citi's analytics division.
- Potential for high compensation within a strategic role
- Significant impact on corporate decision making
- Extensive experience required in senior analytics roles
- Engagement with challenging and dynamic analytics tasks
Pros
- Strong financial compensation; salary range not defined but high expected
- Impact decision-making at a senior level within the organization
- Engagement with market trends and cutting-edge analytics technology
Cons
- Significant experience required which may limit candidate pool
- High expectations for performance with little direct oversight
- Potentially stressful as part of strategic operational decision-making
Who it's for
Senior • On-site
Good fit
- Senior analysts in financial services
- Professionals eager to influence key business decisions
- Individuals with a robust analytical background
Not recommended for
- Entry-level candidates or those seeking junior roles
- Individuals averse to high-pressure situations
- Those looking for remote opportunities
Motivation fit
Key skills
About the job
Business Analytics Senior Lead Analyst - Senior Vice President
The Business Analytics Senior Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.
Responsibilities:
- Gathers operational data from various cross functional stakeholders to examine past business performance
- Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
- Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies
- May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
- Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
- Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
- Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
- 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.
Qualifications:
- Significant proven experience
- Experience in financial services
- Ability in strategic thinking and the ability to frame business problems
- Excellent analytical, technical and/or statistical skills with proven ability to translate large volumes of data information
- Market research experience a plus
Education:
- Bachelors/University degree, Master’s degree preferred
Desired Skills:
- Strong knowledge of Investment Banking process / Trading products required.
- Familiarity with regulatory reporting frameworks
- Proficiency in python for data manipulation, analysis and automation.
- Experience applying machine learning techniques including LLMs for data enrichment, NLP and document intelligence
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Decision Management------------------------------------------------------
Job Family:
Business Analysis------------------------------------------------------
Time Type:
Full time------------------------------------------------------
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Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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