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The Data Analytics Intmd Analyst is a developing professional role requiring application of data analysis tools and methodologies, integration of specialty area knowledge with industry standards, and analytical thinking for addressing local operations and broader impacts. Duties include applying project management skills, risk assessment, ensuring quality of service, and exchanging complex/sensitive information. The position requires experience working with Python, Big Data, PySpark, Kafka, CI/CD pipelines, and DevOps practices.
Job Responsibility:
Integrates in-depth data analysis knowledge with a solid understanding of industry standards and practices
Demonstrates a good understanding of how data analytics teams and area integrate with others in accomplishing objectives
Applies project management skills
Applies analytical thinking and knowledge of data analysis tools and methodologies
Analyzes factual information to make accurate judgments and recommendations focused on local operations and broader impacts
Applies professional judgment when interpreting data and results breaking down information in a systematic and communicable manner
Employs developed communication and diplomacy skills to exchange potentially complex/sensitive information
Demonstrates attention to quality and timeliness of service to ensure the effectiveness of the team and group
Provides informal guidance or on-the-job-training to new team members
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
Requirements:
2-5 years relevant experience
Knowledge of tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
2-4 years of experience as a Python developer with expertise in automation testing to design, develop, and automate robust software solutions and testing frameworks like Pytest, Behave etc.
2-4 years of experience as a Big Data Engineer to develop, optimize, and manage large-scale data processing systems and analytics platforms
3-4 years of experience in distributed data processing & near real-time data analytics using PySpark
2-5 years of experience in designing, managing, and optimizing Kafka-based messaging systems for real-time data streaming
Familiarity with CI/CD pipelines, version control systems (e.g., Git), and DevOps practices
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