
Global investment banking and financial services
Data/Information Mgt Int Anlst
Required skills
Python
Machine Learning
The Data/Information Mgt Int Anlst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Responsibilities:
- This function covers incumbents responsible for various data activities, which include database administration, data analysis, maintenance, data quality, and database management or database architecture / design engineering
- Responsible for routine operational or administrative work
- Day-to-day actions are focused on administering defined procedures, analyses and report preparation
- Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area
- Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
- 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:
- 4-6 years relevant experience
- Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives
- Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
- Big data and machine learning experiences are (R, Python etc.)
- Reporting Process Reimagine using GenAI technologies.
Education:
- Bachelors/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.
Job Family Group:
Decision Management
Job Family:
Data/Information Management
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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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About Citigroup

Citigroup
PublicCitigroup 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+
Employees
New York City
Headquarters
$86B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
4.0
Career
3.2
Management
3.5
65%
Recommend to a friend
Pros
Good work-life balance
Supportive management and colleagues
Good benefits
Cons
Low or uncompetitive salary/pay
Long hours during peak times
Poor management and lack of direction
Salary Ranges
48 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Analytics Senior Analyst
3 reports
$117,000
total per year
Base
$120,800
Stock
-
Bonus
-
$117,000
$117,000
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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