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NAM Citigold Analytics Senior Analyst

Citigroup

NAM Citigold Analytics Senior Analyst

Citigroup

WILMINGTON, Delaware, United States of America; MIAMI, Florida, United States of America

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

SQL

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 role will be instrumental in providing critical analytical insights and fostering collaboration with the broader Wealth Data Analytics and Innovation (DAI) organization to achieve business objectives.

Position Overview

The primary objective of this role is to drive impactful analytical projects that will shape the future and growth of the NAM Citigold business. The Senior Analyst will work with cutting-edge technologies and collaborate with a team of passionate innovators, spearheading projects that deliver data-driven insights. They will also guide DAI’s strategic initiatives and lead ad-hoc analytical efforts to address evolving business needs. Furthermore, this role will serve as a key liaison between the Wealth Business and other analytical functions within DAI. A strong technical skillset encompassing data extraction, manipulation, and compelling data storytelling is essential.

Key Responsibilities

Data-Driven Insights

  • Extract, manipulate, and analyze large datasets from multiple sources to support strategic wealth management decisions
  • Utilize advanced data analytics techniques to uncover trends, patterns, and actionable insights relevant to portfolio management, campaign management, and market performance
  • Design, develop, and maintain comprehensive dashboards and reports to effectively track performance metrics, client portfolios, and market dynamics
  • Continuously evaluate and optimize data analytics processes and tools to enhance operational efficiency and ensure data accuracy

Data Storytelling

  • Translate complex data findings into clear, concise, and visually compelling narratives for both technical and non-technical audiences, influencing business strategy

Cross-Functional Collaboration

  • Collaborate proactively with senior management and stakeholders to identify critical business questions and deliver data-driven recommendations
  • Work closely with Technology and Data Engineering teams to ensure the availability, accuracy, and integrity of data utilized for analytical purposes

Required Skills & Experience:

  • 5+ years of hands-on experience working with data, preferably within the wealth management or financial services industry
  • Demonstrated ability in data retrieving, manipulation, and storytelling in a fast-paced, growth-oriented environment
  • Experience working with Snowflake, Big Data (e.g., Hadoop ecosystem), and Teradata environments
  • Proven track record of working with Python, Py Spark, Dataiku, SQL, and SAS
  • Strong expertise in Python and other data analytics tools for robust data processing, analysis, and visualization (e.g., pandas, Num Py, matplotlib, Seaborn)
  • Exceptional problem-solving abilities with expertise in synthesizing business requirements and constructing suitable data analysis frameworks
  • Proven ability to create data-driven narratives and effectively communicate insights to both technical and business stakeholders
  • Solid understanding of database structures, data warehousing principles, and ETL processes
  • Excellent communication, presentation, and interpersonal skills
  • Detail-oriented with a strong commitment to delivering accurate and actionable insights
  • Ability to manage multiple projects and prioritize tasks effectively in a dynamic environment

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 practices related to financial data and reporting
  • Prior experience working in a wealth management firm or financial institution
  • Experience with Generative AI (Gen AI) is a plus

Education:

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

Job Family Group:

Business Strategy, Management & Administration

Job Family:

Business Management

Time Type:

Full time

Primary Location:

Wilmington Delaware United States:

Primary Location Full Time Salary Range:

$96 400,00 - $144 600,00
In addition to salary, Citi’s offerings may also include, for eligible employees, 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:

mar 10, 2026

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.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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关于Citigroup

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

员工数

New York City

总部位置

$86B

企业估值

评价

3.7

10条评价

工作生活平衡

3.8

薪酬

2.5

企业文化

4.0

职业发展

3.2

管理层

3.5

65%

推荐给朋友

优点

Good work-life balance

Supportive management and colleagues

Good benefits

缺点

Low or uncompetitive salary/pay

Long hours during peak times

Poor management and lack of direction

薪资范围

38个数据点

Senior/L5

Senior/L5 · CASH & TRADE PROCESSING SENIOR GROUP MANAGER

2份报告

$247,000

年薪总额

基本工资

$200,491

股票

-

奖金

-

$247,000

$247,000

面试经验

3次面试

难度

3.3

/ 5

时长

14-28周

体验

正面 0%

中性 33%

负面 67%

面试流程

1

Application Review

2

HR Screen

3

Technical Assessment

4

Hiring Manager Interview

5

Final Round Interview

6

Offer Decision

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit