Data Analytics Analyst 2 - C10 - CHENNAI

The Data Analytics Analyst 2 is a developing professional role. Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data. Identifies policy gaps and formulates policies. Interprets data and makes recommendations. Researches and interprets factual information. Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices. Integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Develops working knowledge of industry practices and standards. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own team.

Responsibilities:

• 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.

Qualifications:

• 0-2 years experience using tools for statistical modeling of large data sets

Education:

• Bachelor’s/University degree or equivalent experience

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

• 2-4 years of experience as a python/Java 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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