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职位Citigroup

Data/Information Mgt Sr Analyst Tableau SQL

Citigroup

Data/Information Mgt Sr Analyst Tableau SQL

Citigroup

Chennai, India

·

On-site

·

Full-time

·

3w ago

必备技能

Python

SQL

Tableau

Project Management

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:

7-8 years of relevant work experience in Data Management / MIS / Reporting / Data analytics within Banking / Financial Services / Analytics Industry

Programming –SQL, SAS, PROC SQL macro coding

Databases: MS SQL Server, Bigdata

BI Tools – Tableau (MUST)

Understanding of Data Systems and Technology Platforms

Strong analytical aptitude and logical reasoning ability

Strong communication skills & Good presentation skills

Strong process/project management skills

AI -- Good to have

Experience with Cloud data platforms such as Snowflake, Hive including building semantic layers, data pipelines, and AI-enabled data models.

Hands‑on expertise with LLMs and RAG frameworks to enhance BI, automate and enable conversational analytics.

Strong understanding of MLOps/Data Ops practices, including CI/CD for AI models, monitoring, versioning, and automated deployment.

Proficiency in Python/SQL for AI‑driven analytics, data transformations, and integrating models into reporting workflows.

Knowledge of BI automation frameworks (Tableau, Tableau Pulse/Agent, Qliksense) to operationalize AI within reporting

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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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

4.0

薪酬

2.8

企业文化

4.2

职业发展

3.5

管理层

3.3

68%

推荐给朋友

优点

Good work-life balance

Supportive management and colleagues

Good benefits

缺点

Low/uncompetitive salary and pay

Poor management and lack of direction

Heavy workload and long hours

薪资范围

38个数据点

Mid/L4

Senior/L5

Staff/L6

Mid/L4 · Business Risk Intermediate Analyst

1份报告

$77,165

年薪总额

基本工资

$67,100

股票

-

奖金

-

$77,165

$77,165

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