Ops Analyst - Gurgaon

23/03/2015 11:34

Job Title: Ops Analyst

Job Location: Gurgaon

Experience: 2-4 Years of Experience

Job Summary

The objective of this role is to utilize data mining, analytical and reporting skills to Support Operations department with timely and accurate reports and ad-hoc analysis of data based on requirements from supervisor and Operations management staff.

Job Description


  • Data mining and extraction, Data tables mapping, documentation and maintenance
  • Creation of routines to transform data feed into databases and generate reports and MI based on user specifications and delivering regular / ad-hoc as per agreed timelines
  • Delivering regular and ad-hoc reports periodically as per agreed timelines
  • Documentation of queries used for MI reporting
  • Procedures for automated reports creation and maintenance ANALYSIS
  • Identify trends and correlations of key indicators
  • Ad-hoc analysis requests fulfilment 


  • Business data dictionary maintenance
  • Working with Local IT to fix identified data issues
  • User testing of system changes and DWH enhancements
Desired Profile
  • Must be a graduate, Mathematics or Engineering major (can be substituted by extensive relevant experience)
  • Detailed knowledge and understanding of data collection methodologies, analysis, principles and techniques
  • Excellent knowledge of Microsoft Office, Visual basic and SQL programming
  • Financial institution experience Operations function experience
  • Experience with Programming and developing software applications
  • Experience with automating reporting structures
  • Experience with BICC implementation
  • 6 sigma / Kaizen knowledge Analytical, problem solving and investigative skills
  • Good verbal and written communication in English
  • Ability to prioritize and to manage multiple tasks
  • Ability to work independently, self- motivation and reliability
  • Adaptable to changes and proactivity
  • Consistency, accuracy and attention to detail
  • Ability to identify process improvements opportunities using data research
  • Ability to translate technical terms into ‘plain English’ understandable by common user



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