Data Information Management Senior Analyst
@ Citi

Pune, Maharashtra, India
$150,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

The Data Information Management Senior Analyst at Citi is a seasoned professional role responsible for developing new techniques and process improvements. The role integrates subject matter expertise and evaluates complex issues with substantial impact.

Responsibilities

  • Develop and enhance workflows and ETL processes.
  • Analyze complex data from multiple sources.
  • Lead teams and coach new recruits.
  • Manage data engineers and multiple datasets.
  • Design automation for manual workflows and processes.

Technical Skills

  • Big Data technologies: HIVE, Spark, Pyspark.
  • Programming in Python, Scala, and Spark SQL.
  • Experience with streaming data and ETL workflow design.
  • Deep data analytical and problem solving skills.

Qualifications

10-12 years of experience with relevant data analytical solutions. Must have management experience, excellent communication, and project management skills. Educational background in engineering, technology, or computer science from a premier institute is required.

Other Information

This role is full time and offers opportunities to impact decision making and lead teams. Citi is an equal opportunity employer ensuring inclusive practices.

Key skills/competency

  • Data Analysis
  • ETL
  • Big Data
  • Python
  • Spark
  • Leadership
  • Automation
  • Data Warehousing
  • Team Management
  • Communication
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How to Get Hired at Citi

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data analytics experience.
  • Research Citi: Understand their mission, values, and recent projects.
  • Prepare examples: Use clear examples of technical challenges overcome.
  • Practice interview insights: Focus on leadership and teamwork skills.

📝 Interview Preparation Advice

Technical Preparation

Practice Python and Spark SQL coding.
Review Big Data frameworks like Hive and Spark.
Work on ETL automation projects.
Revise streaming data handling techniques.

Behavioral Questions

Describe handling high-pressure decisions.
Explain team conflict resolution.
Discuss mentoring experiences.
Share project management challenges.

Frequently Asked Questions