
Global investment banking and financial services
Data & Business Intelligence Specialist
We are seeking a highly motivated and skilled Data & Business Intelligence Specialist to join our team. The ideal candidate will possess a strong blend of data analysis, business intelligence, and process automation expertise. This role involves developing data solutions, creating insightful visualizations, ensuring data quality, and implementing automation platforms to drive efficiency and informed decision-making across the organization.
Key Responsibilities:
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Data Analysis & Engineering:
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Design, develop, and maintain robust data pipelines using Python and Py Spark.
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Perform complex data querying, manipulation, and analysis using SQL and SAS to extract actionable insights.
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Collaborate with business users to understand data requirements and translate them into technical specifications.
Business Intelligence & Visualization:
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Develop, implement, and maintain interactive dashboards, reports, and data visualizations using Tableau.
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Ensure the accuracy, integrity, and timely delivery of BI solutions.
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Provide expertise in Tableau development best practices, including data source optimization and dashboard performance.
Data Quality & Governance:
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Establish and enforce data quality standards and governance policies.
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Monitor data quality, identify discrepancies, and implement corrective actions.
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Work to improve data reliability and consistency across various data sources.
Business Process Automation:
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Develop, configure, and support business process management (BPM) applications using Appian.
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Utilize Xceptor for intelligent data capture, extraction, and automation solutions.
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Identify opportunities for process improvement and automation to enhance operational efficiency.
Collaboration & Communication:
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Work closely with cross-functional teams, including business stakeholders, IT, and other data professionals.
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Present analytical findings and technical solutions clearly and concisely to both technical and non-technical audiences.
Required Qualifications: Technical Proficiency:
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Strong expertise in Python, Py Spark, SQL, and SAS for data manipulation and analysis.
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Proven experience with Tableau development, including data modeling, dashboard design, and advanced reporting features.
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Hands-on experience with Appian development for building and deploying business applications.
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Familiarity with Xceptor for data extraction and automation.
Analytical Skills:
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Exceptional analytical, problem-solving, and critical thinking skills.
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Ability to interpret complex data and translate findings into practical recommendations.
Experience:
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(Specify required years of experience - e.g., 3+ years) in a Data Analyst, SQL Developer, Tableau Developer, or similar role.
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Experience with data quality initiatives and data governance frameworks.
Education:
- Bachelor's degree in Computer Science, Data Science, Information Systems, or a related quantitative field. Master's degree is a plus.
Soft Skills:
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Excellent communication, interpersonal, and presentation skills.
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Ability to work independently and collaboratively in a fast-paced environment.
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Strong organizational skills with attention to detail.
Preferred Qualifications:
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Certifications in Tableau, Appian, or relevant data technologies.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies.
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Familiarity with agile development methodologies.
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:
- 0-2 years relevant experience
- Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS etc.)
- Big data and machine learning experiences are (R, Python etc.)
- The ability to engage resources outside of their direct control to achieve objectives
Education:
- Bachelors/University degree or equivalent experience
Position open for C09, C10 & C11
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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关于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+
员工数
New York City
总部位置
$86B
企业估值
评价
10条评价
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%
推荐率
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
48个数据点
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Analytics Senior Analyst
3份报告
$117,000
年薪总额
基本工资
$120,800
股票
-
奖金
-
$117,000
$117,000
面试评价
3条评价
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
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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