Citi Company Hiring Data Analytics Fresher Student Can Apply

Citigroup is an American multinational Investment bank and financial services company in New York. It Was in 8 Founded 1998,it is considered a systemically important bank by the Financial Stability Board. Recruitment Opportunities for Freshers in Citi Off Campus Recruitment for fresher process typically involves a detailed in notification and the Including eligibility criteria application procedures ,selection process, and important dates. for the candidates . the notification also important information about the age limits.

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All Details For Job

  • Company Name : Citi
  • Location :Pune Maharashtra
  • Eligibilities: Any Graduate Degree Pursing Computer Science ,Information Technology Cybersecurity.
  • Salary Break-up Info: as per performance
  • Role: Data Analytics Analyst
  • Education: BTech /BE
  • Experience: 0-2 Year

Responsibilities

Develop and maintain data quality standards and ensure data integrity across various systems.
Design, develop, and maintain complex Oracle PL/SQL queries and procedures for data extraction, transformation, and loading (ETL) processes.
Utilize Python scripting for data analysis, automation, and reporting.
Perform in-depth data analysis to identify trends, patterns, and anomalies, providing actionable insights to improve business performance.
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Leverage data analysis and visualization tools (e.g., Tableau, Power BI, Qlik Sense) to create interactive dashboards and reports for business stakeholders.
Stay up-to-date with the latest data analysis tools, techniques, and industry best practices, including AI/ML advancements.
Research and evaluate emerging AI/ML tools and techniques for potential application in data analysis projects.

Skill

Practical experience applying AI/ML techniques in data analysis projects is a plus.
Expertise in data visualization tools such as Tableau, Power BI, or Qlik Sense.
Awareness and understanding of AI/ML tools and techniques in data analytics (e.g., machine learning algorithms, natural language processing, predictive modeling).
Strong analytical, problem-solving, communication, and interpersonal skills.
Experience in the financial services industry.

Qualification

Bachelor’s degree/University degree or equivalent experience Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Working knowledge of program languages Consistently demonstrates clear and concise written and verbal communication

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