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Associate Data Analyst

Collabera·$22 – $24

Primary stack

MS Excel

Job description

About the Position

We are seeking an Associate Data Analyst with skills in AML, Data Analysis, and Excel to join our team in Orlando, Florida.

Responsibilities

  • Perform data analysis and reporting
  • Ensure compliance with AML regulations
  • Utilize Excel for data management and analysis

Requirements

  • AML: Knowledge of Anti-Money Laundering regulations
  • Data Analysis: Ability to analyze and interpret complex data sets
  • Excel: Proficiency in using Excel for data manipulation and visualization

We Offer

  • Competitive hourly rate between $22.00 - $24.00
  • Opportunity to work in a dynamic and growing company
  • Professional development and growth opportunities

About the Company

Our company is a leader in Accounting and Auditing Services, committed to providing top-notch financial solutions to our clients.

© Collabera. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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Collabera

Recruitment & HR Tech

About the Company Collabera is ranked the 9th largest Information Technology (IT) and professional staffing firm in the U.S., with more than $650 million in sales revenue and a global presence representing approximately 16,000+ professionals. Products, Services & Tech Stack Core Solutions Talent Solutions Leadership & Strategic Hiring Executive Search Direct Hire Recruitment Flexible Workforce Solutions Contingent Contracting & Staffing Scaled Hiring Recruitment Process Outsourcing (RPO) Managed Talent Solutions Technologies & Frameworks No specific technologies, frameworks, or tools mentioned in the provided text. Project Scope & Target Clients Client Base Banking, Financial Services, and Insurance Healthcare, Pharma, and Lifesciences Tech, Media, and Telecom Energy, Oil, and Gas Engineering Scale No specific information on the scope and complexity of engineering projects.

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