Java/Python - Data Analyst

The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.

Responsibilities:

• Integrates subject matter and industry expertise within a defined area.
• Contributes to data analytics standards around which others will operate.
• Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
• Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
• Resolves occasionally complex and highly variable issues.
• Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
• Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
• 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:

• 6-10 years experience usisng codes for statistical modeling of large data sets
  
  

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree
  
  

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

• 12+ years of progressive experience in the IT field, with a focus on data engineering and analytics.
• 8+ years of experience in Java/Python programming with expertise in automation testing to design, develop, and automate robust software solutions and testing frameworks.
• 8+ years of experience in designing, developing, and testing API/microservices and complex data pipelines for data ingestion, transformation, and processing.
• 6+ years of experience in designing, automating and managing Kafka-based messaging systems for real-time data streaming.
• 5+ years of experience leading large-scale data and analytics projects, with demonstrated ability to manage all aspects of the project lifecycle, from initiation to delivery.
• Familiarity with CI/CD practices and automation tools to streamline development, test automation and deployment processes.
• Proven experience in team leadership, including mentoring and guiding technical teams to achieve project goals.
• Industry experience within banking, capital markets, or the broader financial services sector is strongly preferred.
• Hands-on experience with enterprise-scale, multi-region projects, showcasing the ability to work in complex, distributed environments.
  
  

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Job Family Group:

Technology

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Job Family:

Data Analytics

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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