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The Data Analytics Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices.
Job Responsibility:
Identifies policy gaps and formulates policies
Interprets data and make recommendations
Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices
Makes judgments and recommendations based on analysis and specialty area knowledge
Researches and interprets factual information
Identifies inconsistencies in data or results, define business issues and formulate recommendations on policies, procedures or practices
Exchanges information in a concise and logical way as well as be sensitive to audience diversity
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:
0-2 years experience using tools for statistical modeling of large data sets
2-3 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 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 Springboot/PySpark
2-5 years of experience in designing, managing, and optimizing Kafka-based messaging systems for real-time data streaming
3-5 years of experience in tools such as Selenium, Cucumber BDD, Karate, Rest Assured and programming languages such as Java and python for Web application automation and API automation
Familiarity with CI/CD pipelines, version control systems (e.g., Git), and DevOps practices
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