Walk in Data Migration Analyst @ GlobalData

Role & responsibilities

The Data Migration Analyst will be responsible for the following:

• Execute data migrations from source systems into Salesforce using tools such as Salesforce Data Loader, DemandTools, Workbench, and cloud-based ETL platforms.
• Define and document source-to-target data mapping with a focus on Salesforce schema and best practices.
• Conduct data profiling, cleansing, standardization, and de-duplication prior to import.
• Perform pre- and post-migration data validations and audits to ensure completeness and accuracy.
• Support manual migration tasks when automation is not feasible.
• Collaborate with Salesforce Admins, developers, and stakeholders to align on migration strategy.
• Maintain detailed data dictionaries, mapping documents, and audit logs.
• Documentation of any changes and progress.

Preferred candidate profile

Ideal candidates will have the following qualifications and technical skills:

• 2 - 3 years of hands-on experience in data migration, with strong Salesforce focus.
• Advanced Microsoft Excel skills (Power Query, pivot tables, macros/VBA).
• Proficiency with Salesforce Data Loader, Workbench, or cloud-based ETL tools such as Talend, Informatica Cloud, or Boomi.
• Solid understanding of Salesforce objects such as Accounts, Contacts, Opportunities, Leads, and Custom Objects.
• Basic SQL knowledge for performing data validation and profiling.
• Strong knowledge of data mapping, cleansing techniques, and audit procedures.
• Excellent verbal and written communication skills.
• Ability to work under pressure in fast-paced M&A environments.

Preferred Qualifications

Additional qualifications that will set candidates apart include:

• Salesforce Administrator Certification.
• Experience with M&A data integrations or Salesforce org consolidations.
• Familiarity with data governance practices and master data management (MDM).

Soft Skills & Attributes

We value candidates who demonstrate the following qualities:

• Detail-oriented with strong analytical and critical thinking abilities.
• Quality-focused mindset with a proactive problem-solving approach.
• Business-aware - able to interpret the real-world implications of data changes.
• Effective in team-based and independent work environments.
• Flexible and adaptable to shifting priorities and timelines.