Data Migration Expert

5 days ago


New York, New York, United States Collabera Full time
About the Role

We are seeking a skilled Training Data Analyst Specialist to join our team at Collabera. This is a Contract position based in New York, New York, US, with a competitive hourly rate of $00 per hour.

Key Responsibilities
  • Partner with ERMTP Business Analyst to identify data migration requirements to the new ERMTP system
  • Prepare TNA data for data migration to new ERMTP system
  • Test, as needed, data migration against requirements from current system of record to the new ERMTP system
  • Manage target audience data, reviewing policies and standards in-scope for ERMTP to identify and document policy/standard audience and roles & responsibilities
  • Collaborate with various stakeholders (Policy Owners, ERMTP Core Team, Learning & Development, etc.) to identify and document audience requirements and associated audience data
  • Review audience requirements and associated data with key stakeholders (Policy Owners, ERMTP Core Team, etc.), helping create or review audience assignment tickets
  • Maintain audience requirements once trainings are deployed/assigned
  • Prepare TNAs into required format for data entry, evaluating aggregate TNAs to help create the 2025 Annual Training Plan
  • Enter or upload data into MS SharePoint and/or other ERMTP system/application to update or create TNAs in system of record, performing quality checks to confirm data was entered/uploaded completely and correctly

This role requires strong risk and control knowledge to support, enhance and facilitate the Training Needs Analysis (TNA). You will aggregate the results of the TNA and quality check across the policies, prioritize the 2025 training plan, and review sequencing. Additionally, you will leverage your risk and control/ERMF expertise to understand the link between the policies and the trainings, coalescing the training topics sequentially and thematically around key areas such as Risk, Data, Data Analysis, Data Migration, and Data Entry.



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