Reference Data Analyst
@ Intercontinental Exchange Holdings, Inc.

Hyderabad, Telangana, India
$80,000
On Site
Full Time
Posted 1 day ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @intercontinentalexchange.com
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Job Details

Job Purpose

The Reference Data Analyst role at Intercontinental Exchange Holdings, Inc. focuses on ensuring data accuracy, timeliness, and completeness in Global Equities. The position combines content knowledge with technical skills to perform accuracy checks and design quality metrics.

Responsibilities

  • Conduct accuracy, timeliness, and completeness checks on a predefined list of securities.
  • Verify database records against source documents.
  • Identify, record, maintain, and report data inaccuracies and omissions.
  • Perform root cause analysis to consolidate findings.
  • Examine error results and identify trends to recommend solutions.
  • Present statistics on accuracy, completeness, and error distribution.
  • Escalate issues to management in cases of repetitive errors.
  • Recommend automation, system edits, and quality report improvements.
  • Develop and execute data cleanup initiatives.
  • Produce Access queries and SQL to enhance data quality processes.

Knowledge and Experience

  • Bachelor’s degree in mathematics, economics, computer science, information management, or statistics.
  • Minimum of 1.5 years experience in Equity primary or Secondary processes.
  • At least 6 months’ tenure in current designation.
  • Proficiency in SQL, Macro, Advanced Excel or any programming language.
  • Strong understanding of Global Taxable Secondary processes and internal applications like Ex share, Bond Eye, and Service Now.
  • Excellent communication and problem-solving skills.

Key skills/competency

  • Data Accuracy
  • SQL
  • Equity
  • Automation
  • Root Cause Analysis
  • Advanced Excel
  • Access Queries
  • Data Cleanup
  • Timeliness
  • Completeness
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How to Get Hired at Intercontinental Exchange Holdings, Inc.

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize SQL, data analysis, and equity processes.
  • Review job requirements: Align qualifications with technical skills and process knowledge.
  • Practice interview insights: Prepare examples of data accuracy improvements.
  • Network professionally: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Access query skills.
Practice writing Excel macros.
Study data validation techniques.
Familiarize yourself with cleanup processes.

Behavioral Questions

Describe a time you solved data issues.
Explain working under tight deadlines.
Share teamwork experience on data projects.
Discuss handling repetitive error escalations.

Frequently Asked Questions