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NAM Citigold Analytics Lead Analyst

NAM Citigold Analytics Lead Analyst

Citigroup Inc.New York, NY, US
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Overview

Citi Wealth is a premier wealth management organization, renowned for providing top-tier financial services to a discerning clientele. We are dedicated to innovation, excellence, and delivering insightful financial solutions. We are seeking a highly skilled data science professional to be part of the Business Analytics Management (BAM) team. This individual will be instrumental in providing analytical insights and liaising with the broader Wealth Data Analytics and Innovation (DAI) organization to help the business achieve its goals.

Position Overview

The overall objective of this role is to contribute to impactful analytical projects that shape the future and growth of the NAM Citigold business. The individual will work with cutting-edge technologies and a team of passionate innovators driving multiple projects that will help the business with data-driven insights. The role includes guiding DAI's broader book of work and owning ad-hoc analytics based on business needs. The individual will also serve as a key point of contact between the Wealth Business and other analytical functions within the DAI. The candidate must have a strong technical skillset comprising data extraction, manipulation, and storytelling.

Key Responsibilities

  • Data-Driven Insights

Extract, manipulate, and analyze large datasets from multiple sources to support wealth management decisions

  • Use advanced data analytics techniques to uncover trends, patterns, and insights relevant to portfolio management, campaign management, and market performance
  • Create and maintain dashboards and reports to track performance metrics, client portfolios, and market changes
  • Continuously evaluate and optimize data analytics processes and tools to improve operational efficiency and data accuracy
  • Data Storytelling
  • Present complex data findings in a clear, concise, and visually compelling manner to both technical and non-technical audiences

  • Cross-Functional Collaboration
  • Collaborate with senior management and stakeholders to identify key business questions and deliver data-driven recommendations

  • Work closely with the Technology and data engineering teams to ensure the availability, accuracy, and integrity of data used for analysis
  • Required Skills & Experience

  • 7+ years of experience working hands-on with data, preferably within the wealth management / financial services industry
  • Demonstrated ability in data retrieval, manipulation, and storytelling in a fast-paced growth-oriented environment
  • Experience working with Teradata and Big data environment
  • Proven track record of working with SAS, SQL, Python, Dataiku
  • Strong experience in Python and other data analytics tools for data processing, analysis, and visualization (e.g., pandas, NumPy, matplotlib, Seaborn)
  • Strong problem-solving abilities with expertise in synthesizing the business requirements and building a suitable data analysis framework
  • Proven ability to create data-driven narratives and effectively communicate insights to both technical and business stakeholders
  • Solid understanding of database structures, data warehousing, and ETL processes
  • Excellent communication, presentation, and interpersonal skills
  • Detail-oriented with a commitment to delivering accurate and actionable insights
  • Manage multiple projects and prioritize tasks effectively
  • Preferred Skills

  • Experience with business intelligence tools such as Tableau, Power BI, or Qlik
  • Familiarity with machine learning techniques and statistical analysis in a financial context
  • Basic understanding of common / best practices related to financial data and reporting
  • Prior experience working in a wealth management firm or financial institution
  • Education

    Bachelor's degree in Data Science, Computer Science, Economics, Finance, Statistics, or a related field. Master's degree preferred

    Job Family Group : Decision Management

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

    Time Type : Full time

    Primary Location : New York, United States

    Primary Location Full Time Salary Range : $157,040.00 - $235,560.00

    In addition to salary, Citi's offerings may also include discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including : medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers 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.

    Most Relevant Skills

    Please see the requirements listed above.

    Other Relevant Skills

    For complementary skills, please see above and / or contact the recruiter.

    Anticipated Posting Close Date : Sept 17, 2025

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

    Accessibility at Citi : If you require a reasonable accommodation to use our search tools and / or apply for a career opportunity, please contact us. View Citi's EEO Policy Statement and Know Your Rights poster for more information.

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