Entry Level Data Analyst

Collabera Inc.; Orlando, Northern (FL, KY); Hybrid; USD 65,000 - 85,000; Full time

Job summary

Collabera Inc. in Orlando, FL seeks a Data Analyst to support retail anti-money laundering and transaction monitoring operations. You will analyze data across multiple systems, support regulatory risk and controls activities, and coordinate project deliverables with stakeholders.

Training will be provided on transaction monitoring processes and procedures, with opportunities to contribute to process improvements and the adoption of AI-driven solutions.

Qualifications

• Bachelor’s degree in business, finance, economics, data analytics, information systems, or related field.
• Experience in financial services, retail banking, data validation, controls testing, project management, or related operational environment.
• Proficiency with MS Excel, Word, PowerPoint, Outlook.
• Ability to analyze information and reports generated from databases and business software applications.
• Strong written and verbal communication skills with the ability to present information clearly through written narratives and diagrams.
• Strong organizational skills with the ability to manage multiple priorities in a target-driven environment.
• Strong collaboration, adaptability, attention to detail, and problem-solving skills.

Responsibilities

• Coordinate with internal and external stakeholders across multiple locations to support a centralized team.
• Assist with project planning, meeting coordination, project requests, deliverable schedules, and stakeholder communications.
• Review and analyze data across multiple systems to support enhanced due diligence, transaction monitoring, fraud investigations, validations, and controls testing.
• Maintain operational and regulatory compliance while meeting performance and quality metrics.
• Identify opportunities to use artificial intelligence to improve operational quality, productivity, and process efficiency.
• Manage multiple projects and competing priorities while supporting issue resolution with guidance from senior team members.
• Assist with developing standard operating procedures, training materials, and process documentation.
• Review reports and deliverables for accuracy, completeness, formatting, and consistency.
• Collaborate effectively with team members and stakeholders while maintaining a professional and respectful work environment.

Skills

Communication

Organizational skills

Collaboration

Problem solving

Education

Bachelor's degree in business, finance, economics, data analytics, information systems, or related field

Tools

MS Excel

MS Word

MS PowerPoint

MS Outlook

Job description

The company is seeking a Data Analyst to support retail anti-money laundering and transaction monitoring operations. This role will analyze data across multiple systems, support regulatory risk and controls activities, coordinate project deliverables, and contribute to process improvements. Training will be provided on transaction monitoring processes and procedures.

Key Responsibilities:

• Support a centralized team by coordinating with internal and external stakeholders across multiple locations.
• Assist with project planning, meeting coordination, project requests, deliverable schedules, and stakeholder communications.
• Review and analyze data across multiple systems to support enhanced due diligence, transaction monitoring, fraud investigations, validations, and controls testing.
• Maintain operational and regulatory compliance while consistently meeting established performance and quality metrics.
• Identify opportunities to use artificial intelligence to improve operational quality, productivity, and process efficiency.
• Manage multiple projects and competing priorities while supporting issue resolution with guidance from senior team members.
• Assist with developing standard operating procedures, training materials, and process documentation.
• Review reports and deliverables for accuracy, completeness, formatting, and consistency.
• Collaborate effectively with team members and stakeholders while maintaining a professional and respectful work environment.

Required Qualifications:

• Bachelor’s degree in business, finance, economics, data analytics, information systems, or a related field.
• Experience in financial services, retail banking, data validation, controls testing, project management, or a related operational environment.
• Intermediate proficiency with MSExcel, MSWord, MSPowerPoint, and MSOutlook.
• Ability to analyze information and reports generated from databases and business software applications.
• Strong written and verbal communication skills with the ability to present information clearly through written narratives and diagrams.
• Strong organizational skills with the ability to manage multiple priorities in a target-driven environment.
• Strong collaboration, adaptability, attention to detail, and problem-solving skills.

Preferred Qualifications:

• Experience with anti-money laundering or transaction monitoring processes.
• Experience supporting regulatory risk, compliance, fraud investigations, or financial crime operations.
• Experience identifying opportunities for process improvement or artificial intelligence use cases.

This is a direct hire opportunity. The selected candidate will be employed directly by our client. All compensation and benefits, including but not limited to medical insurance, retirement plans, paid time off, and other perks, will be provided by the client in accordance with their internal policies and subject to applicable laws and eligibility requirements.