Associate Data Analyst
The Associate Data Analyst supports retail banking Anti-Money Laundering and transaction-monitoring operations within a global professional services firm. This entry-level role involves data review and analysis, project coordination, and contributing to process improvements, with a focus on compliance and operational efficiency. The position offers comprehensive training and requires strong analytical, communication, and collaboration skills in a deadline-driven environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Global Professional Services / Accounting.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Key Responsibilities
- Collaborate within a centralized, high-performing team supporting internal and external stakeholders across multiple geographies.
- Coordinate meetings, track project requests, maintain delivery schedules, communicate updates, and review deliverables for accuracy and formatting.
- Review and analyze data across multiple systems to support transaction monitoring, enhanced due diligence, fraud investigations, controls testing, data validation, grants management, and related project activities.
- Follow established policies and procedures while meeting defined productivity, quality, and performance targets.
- Identify potential AI use cases and recommend process improvements that enhance operational quality and efficiency.
- Manage multiple assignments, prioritize competing deadlines, and help resolve project issues with guidance from senior team members.
- Contribute to standard operating procedures, training materials, and team-development initiatives.
- Maintain a professional, respectful, and collaborative work environment while demonstrating integrity and personal accountability.
Qualifications
- Bachelor’s degree required.
- Entry-level candidates are encouraged to apply.
- Experience or coursework in financial services, retail banking, data analytics, controls testing, project management, data validation, grants management, AI, or software development is a plus.
- Intermediate proficiency with MS Word, Excel, PowerPoint, Outlook, and related productivity tools.
- Strong analytical skills, attention to detail, and ability to review information from databases and software applications.
- Ability to draft, proofread, and analyze reports using MS tools.
- Excellent written and verbal communication skills, including the ability to explain ideas clearly through narratives, reports, and diagrams.
- Strong collaboration, adaptability, organization, and time-management skills.
- Ability to work effectively in a deadline-driven environment with measurable quality and productivity expectations.
Compensation & Benefits
- Hourly pay: $22–24 per hour.
- Four weeks of training in transaction-monitoring processes will be provided.
- Benefits (subject to eligibility): medical, dental, and vision insurance; 401(k) retirement plan; life insurance; long-term and short-term disability; paid parking/public transportation support; paid time off, sick leave, parental leave, and paid holidays (as applicable).
Work Location & Schedule
- On-site — Orlando, FL (32827). This is a full-time role supporting retail banking Anti-Money Laundering (AML) and transaction-monitoring operations.
About the Hiring Team
- This role is posted on behalf of a Confidential Client. The Confidential Client operates in Global Professional Services / Accounting and is seeking entry-level talent interested in data analysis, financial services, compliance, and technology-enabled operations.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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