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, IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

As a Forensic Analytics Analyst (entry-level) for our confidential client you will apply data, analytics, and technology to help clients address regulatory, risk, and forensic challenges. Typical responsibilities include:

• Join a practice focused on digital forensics, anti-money laundering (AML) analytics, and forensic analytics to support investigations and compliance engagements
• Develop data analysis plans and analytics strategies to scope investigations and model risk
• Leverage statistical, rules-based, and predictive modeling techniques to detect anomalies and patterns in transactional and financial datasets
• Apply advanced analytics, machine learning, and GenAI where appropriate to support explanations of past events and inform decision-making
• Query and mine large datasets using SQL and other platforms to identify transaction patterns and targeted evidence
• Design and implement predictive and text-analytics models and cognitive computing solutions to detect fraud and noncompliance
• Build and maintain interactive dashboards and visualizations to communicate findings to stakeholders
• Work in multidisciplinary teams with forensic accountants, attorneys, investigators, data engineers, and business analysts
• Contribute to practice technology initiatives and adopt new tools and frameworks as the practice evolves

Recruiting for this role ends on 11/01/2026.

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Core Responsibilities & Daily Work

• Analyze high-performance relational databases (e.g., Microsoft SQL Server, Oracle, Microsoft Access, OLAP) to uncover insights
• Query, filter, and transform large datasets to support forensic objectives
• Develop and test analytics models and scripts (e.g., Python-based predictive analytics)
• Create visualizations and dashboards (Tableau, Power BI, QlikView) to present investigative results clearly
• Communicate findings in written and verbal form to client teams and internal stakeholders
• Manage multiple tasks in a fast-paced consulting environment and travel to client sites as needed (up to 25% on average)

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Required Qualifications

• Bachelor’s degree (completed) OR currently enrolled in an accredited college/university with expected graduation by Spring/Summer 2027 in Technology, Data Analytics, Computer Science, Computer Engineering, or a closely related field
• Minimum cumulative GPA: 3.0
• Must be legally authorized to work in the United States without employer sponsorship now or at any time in the future
• Candidates must be at least 18 years of age at time of employment
• Reside within a commutable distance of the assigned office and be able to commute daily if required
• Ability to travel up to 25% on average
• Strong written and verbal communication skills
• Problem-solving, critical thinking, and the ability to work independently and in teams
• Proficiency with Microsoft Excel, Word, and PowerPoint; familiarity with Windows-based systems

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Preferred Qualifications

• Strong academic track record (3.2 cumulative GPA preferred)
• Relevant internship or professional experience in analytics, forensics, or related fields
• Familiarity with:
  • Relational databases and SQL (Microsoft SQL Server, Oracle)
  • Predictive analytics / data mining tools and languages (e.g., Python)
  • Data visualization tools (Tableau, Power BI, QlikView)
  • Big data tools (Hadoop ecosystem: Hive, Pig, Impala) and reporting tools (Business Objects, Reporting Services)
  • Machine learning, GenAI, and cloud platforms (AWS, Azure)
• Demonstrated interest in forensic analytics, AML, fraud detection, or digital investigations

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Team & Culture

• You will join a cross-functional team that integrates technology insights into client objectives.
• The practice emphasizes mentorship, continuous learning, and career growth in consulting and forensic analytics.
• Teams collaborate closely with investigators, attorneys, and data scientists to deliver client-focused solutions.

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Compensation Overview

• The source listing includes published estimates; a reasonable estimate provided was $95,000 (annual). Actual offer will consider experience, skills, location, and other factors.
• Compensation and benefits will be administered by our client; disclosures provided in the original posting remain applicable.

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Other Important Information

• This is an entry-level opportunity intended for candidates beginning or building a career in forensic analytics. Applicants from diverse educational and professional backgrounds are encouraged to apply.
• All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status, or any other protected basis in accordance with applicable law.

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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.