Associate Data Analyst Campus / New Graduate

Industry: Global Professional Services / Accounting
Employment Type: 12 24-month contract with potential for permanent employment
Location: Orlando, FL 32827 On-site, five day per week
Compensation: $22 per hour

Note: entry level candidates and entry-level candidates are encouraged to apply.

Position Summary

A leading global professional services organization is seeking an Associate Data Analyst to support retail banking Anti-Money Laundering (AML) and transaction-monitoring operations. This opportunity is well suited to entry level candidates interested in data analysis, financial services, compliance, and technology-enabled operations.

4 weeks of training in transaction-monitoring processes will be provided.

Key Responsibilities

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  Collaborate within a centralized, high-performing team that supports internal and external stakeholders across multiple geographic locations.

  
  


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  Coordinate meetings, track project requests, maintain delivery schedules, communicate updates, and review deliverables for accuracy and formatting.

  
  


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  Review and analyze data across multiple systems to support transaction monitoring, enhanced due diligence, fraud investigations, controls testing, data validation, grants management, and project management activities.

  
  


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  Follow established policies and procedures while meeting defined productivity, quality, and performance targets.

  
  


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  Identify potential AI use cases and process improvements that enhance operational quality and efficiency.

  
  


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  Manage multiple assignments, prioritize competing deadlines, and help resolve project issues with guidance from senior team members.

  
  


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  Contribute to standard operating procedures, training materials, and team-development initiatives.

  
  


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  Maintain a professional, respectful, and collaborative work environment while demonstrating integrity and personal accountability.

  
  

Qualifications

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  Bachelor s degree required.

  
  


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  entry level candidates and entry-level candidates are encouraged to apply.

  
  


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  Experience or coursework in financial services, retail banking, data analytics, controls testing, project management, data validation, grants management, AI, or software development is preferred.

  
  


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  Intermediate proficiency with MS Word, Excel, PowerPoint, Outlook, and related productivity tools.

  
  


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  Ability to work effectively in a deadline-driven environment with measurable quality and productivity expectations.

  
  


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  Strong analytical skills, attention to detail, and ability to review information from databases and software applications.

  
  


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  Ability to draft, proofread, and analyze reports using MS tools.

  
  


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  Excellent written and verbal communication skills, including the ability to explain ideas clearly through narratives, reports, and diagrams.

  
  


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  Strong collaboration, adaptability, organization, and time-management skills.