Data Analytics Senior Analyst - Assistant Vice President

Citi; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Citi seeks a Data Analytics Senior Analyst to advance data-driven decision making in a fast-paced financial services environment. This role emphasizes strategic data analysis, insight generation, and impactful business recommendations across banking platforms.

The candidate will apply advanced analytical techniques, coach junior staff, and lead data science initiatives. Strong communication and collaboration with IT and business stakeholders are essential for success.

Qualifications

• 5-8 years experience using tools for statistical modeling of large data sets.
• Ability to effectively use complex analytical, interpretive and problem solving techniques.
• Demonstrated interpersonal, verbal and written communication skills.

Responsibilities

• Applies in-depth disciplinary knowledge, contributing to development of new techniques and improved processes.
• Coordinates and contributes to data science initiatives leveraging cross‑functional integration.
• Coaches and trains new recruits in analytics practices.
• Influences decisions and performance of teams through advice and facilitating services.
• Conducts strategic data analysis, identifies insights, and makes strategic recommendations.
• Mines and analyzes data from banking platforms to drive optimization and data quality.
• Delivers analytics initiatives addressing business problems with clear project plans.
• Consults with business clients to identify system specifications and integrate business goals.
• Solves complex issues by evaluating processes, systems and industry standards; recommends solutions.
• Leads system change from requirements through implementation with user support.
• Defines scope and objectives for complex projects with research and fact-finding.

Skills

Statistical modeling

Data analysis

Communication skills

Leadership

Problem solving

Education

Bachelor’s degree or higher

Job description

Data Analytics Senior Analyst - Assistant Vice President

Job Overview

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work‑flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub‑function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities

• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work‑flows.
• Coordinates and contributes to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub‑function.
• Assumes informal/formal leadership role through coaching and training of new recruits.
• Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.
• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
• Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
• Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
• Leads system change process from requirements through implementation; provides user and operational support of application to business users.
• Formulates and defines systems scope and objectives for complex projects through research and fact‑finding combined with an understanding of applicable business systems and industry standards.
• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• Appropriately assesses 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.

Recommended Qualifications

• 5-8 years experience using tools for statistical modeling of large data sets
• Ability to effectively use complex analytical, interpretive and problem solving techniques
• Demonstratedinterpersonal, verbal and written communication skills

Education

• Bachelor’s/University degree or equivalent experience

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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