採用
必須スキル
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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Citigroupについて

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+
従業員数
New York City
本社所在地
$86B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
4.0
報酬
2.8
企業文化
4.2
キャリア
3.5
経営陣
3.3
68%
友人に勧める
良い点
Good work-life balance
Supportive management and colleagues
Good benefits
改善点
Low/uncompetitive salary and pay
Poor management and lack of direction
Heavy workload and long hours
給与レンジ
38件のデータ
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Risk Intermediate Analyst
1件のレポート
$77,165
年収総額
基本給
$67,100
ストック
-
ボーナス
-
$77,165
$77,165
面接体験
3件の面接
難易度
3.3
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 33%
ネガティブ 67%
面接プロセス
1
Application Review
2
HR Screen
3
Technical Assessment
4
Hiring Manager Interview
5
Final Round Interview
6
Offer Decision
よくある質問
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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