Sr.Data Analyst

• Review, interpret, and report patent data errors to stakeholders to mitigate risks associated with IP payments.
  
• Conduct 100% accurate data audits with patent office registers.
  
• Compare and analyse large datasets using advanced Excel formulas
  
• Create simple automations using python, VBA or Power BI based on business requirements (added advantage).
  
• Conduct timely reviews and analyses of data integrity reports and complete necessary follow-ups.
  
• Perform reconciliation to ensure clients' portfolios are up to date.
  
• Ensure timely validation of renewal QA reports to guarantee proper renewal due generation in the system.
  
• Support the operations team by addressing clients' IP payment data errors and managing IP rules for assigned jurisdictions.
  
• Analyse data trends and utilize metrics for effective reporting.
  
• Generate and reconcile Symphony-related reports to ensure accuracy in renewals.
  
• Maintain internal databases, tracking tools, and project timelines efficiently.
  
• Contribute to process improvements to minimize errors, enhance quality, and meet SLAs.
  
• Achieve performance goals related to response times, accuracy, efficiency, and other key metrics.
  

Requirements

Educational Background: Bachelor’s degree in science, Commerce, Finance, or Engineering.

• Experience: 3+ years of experience; prior exposure to Finance or Intellectual Property (IP) is a plus.
  
• Analytical Skills: Strong ability to assess portfolio data and make strategic recommendations.
  
• Communication Skills: Excellent written and verbal communication for client interactions and team collaboration.
  
• Detail-Oriented: High attention to detail for accuracy in renewal instructions and documentation.
  
• Software Proficiency: Strong Microsoft Office skills (Excel expertise required), Power BI, Python and familiarity with patent management software is a plus.
  
• Task Management: Ability to prioritize tasks, manage expectations, and work independently
  

Certificates : Good to have the following certificates, Data Analyst, Data Scientist, Data Engineering,