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Forensic Data Analytics Jobs in Georgia (NOW HIRING)

Job ID: 799718 GGC Senior SOC Analyst Location: 1000 University Center Lane Lawrenceville, GA 30043 ... Providing forensic data for future investigations * Utilizing MS Threat Explorer and Advanced ...

Senior SOC Analyst

Lawrenceville, GA · On-site

$80K - $106K/yr

Senior SOC Analyst Lawrenceville, GA 30043 - Onsite 4-6 months assignment with possibility for ... Providing forensic data for future investigations Skill Required / Desired Amount of Experience ...

Perform site inspections and gather relevant data to support forensic analysis. * Utilize engineering principles and practices to analyze and assess structural issues. * Prepare clear and concise ...

Forensic Engineer (57187)

Marietta, GA · On-site +1

$100K - $150K/yr

Perform site inspections and gather relevant data to support forensic analysis. * Utilize engineering principles and practices to analyze and assess structural issues. * Prepare clear and concise ...

Digital Forensic Examiner Job Category: Information Technology Time Type: Full time Minimum ... Analyze complex and large data sets to identify relevant findings, artifacts, and investigative ...

Digital Forensic Examiner Job Category: Information Technology Time Type: Full time Minimum ... Analyze complex and large data sets to identify relevant findings, artifacts, and investigative ...

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Forensic Data Analytics information

What is a forensic data analytics?

A Forensic Data Analytics (FDA) job involves examining large datasets to detect fraud, anomalies, and compliance risks. Professionals in this field use data analysis, statistical modeling, and investigative techniques to identify suspicious patterns in financial transactions, communications, and other digital records. They often work in industries like finance, consulting, and law enforcement to support fraud investigations and regulatory compliance. Strong analytical skills, proficiency in data tools (such as SQL, Python, or visualization software), and an understanding of forensic methodologies are essential for success in this role.

What kinds of investigations or projects do forensic data analytics professionals typically work on?

Forensic Data Analytics professionals are commonly involved in examining large data sets to identify patterns of fraud, financial irregularities, or compliance issues within organizations. Their work often includes analyzing transactions, tracing the flow of funds, supporting litigation cases, and preparing detailed reports for stakeholders and legal teams. They may also design and implement proactive controls to detect anomalies and reduce the risk of future incidents. Collaboration with auditors, legal teams, and law enforcement is frequent, making this a dynamic and impactful role within risk management and corporate investigations.

What are the key skills and qualifications needed to thrive in forensic data analytics, and why are they important?

To thrive as a Forensic Data Analytics professional, you need strong analytical abilities, expertise in data mining, and a solid background in accounting, statistics, or computer science. Familiarity with tools like SQL, Python, SAS, IDEA, ACL, and certifications such as CFE (Certified Fraud Examiner) or CPA (Certified Public Accountant) are highly valued. Attention to detail, critical thinking, and the ability to communicate complex findings clearly are important soft skills in this role. These skills enable professionals to effectively investigate, detect, and prevent financial misconduct or fraud in various organizational contexts.

Are forensic data analysts in demand?

Forensic data analysts are in high demand due to increasing cybercrime and the need for digital investigation skills. Employers seek professionals proficient in data analysis tools, cybersecurity, and forensic software, with job growth expected to continue as digital forensics becomes more critical in legal and corporate investigations.

How do I get into a forensic data analyst?

To become a forensic data analyst, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining skills in data analysis tools, programming languages like Python or SQL, and understanding of cybersecurity and digital forensics are essential. Certifications such as Certified Forensic Computer Examiner (CFCE) or EnCase Certified Examiner can also improve job prospects.

What do you need to be a forensic data analyst?

To become a forensic data analyst, you typically need a strong background in data analysis, computer science, or a related field, along with skills in data mining, statistical analysis, and familiarity with forensic tools and software. Certifications such as Certified Forensic Computer Examiner (CFCE) or Certified Fraud Examiner (CFE) can enhance credibility. Attention to detail, analytical thinking, and knowledge of legal and ethical standards are also important for success in this role.

What does a forensic data analyst do?

A forensic data analyst examines digital data to identify, recover, and analyze information related to cybercrimes, fraud, or security breaches. They use specialized tools and techniques to uncover evidence, often working with law enforcement or legal teams, and require strong analytical skills and knowledge of cybersecurity and data privacy standards.

What job categories do people searching Forensic Data Analytics jobs in Georgia look for?

The top searched job categories for Forensic Data Analytics jobs in Georgia are:

What cities in Georgia are hiring for Forensic Data Analytics jobs?

Cities in Georgia with the most Forensic Data Analytics job openings:

Infographic showing various Forensic Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Atlanta, GA • On-site

Full-time

Re-posted 20 days ago


Key responsibilities

  • Develop data analysis plans, create analytics strategies, and assess models to support forensic investigations and compliance efforts

  • Query, mine, and analyze large datasets to identify transaction patterns, financial data, and anomalies relevant to forensic and regulatory challenges

  • Build and maintain interactive dashboards and develop predictive analytics models to visualize data and detect hidden patterns


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

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

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement

Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint

The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 or have completed a bachelor's degree or higher in Technology, Data Analytics, Computer Science, and Computer Engineering or a related/equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • You must reside within a commutable distance of your assigned office with the ability to commute daily, if required

Preferred Qualifications

  • Strong academic track record (3.2 cumulative GPA required).
  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate is $95,000.

Qualifications:

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

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

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement

Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint

The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 or have completed a bachelor's degree or higher in Technology, Data Analytics, Computer Science, and Computer Engineering or a related/equivalent program
  • Strong academic track record (3.0 cumulative GPA required)
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • You must reside within a commutable distance of your assigned office with the ability to commute daily, if required

Preferred Qualifications

  • Strong academic track record (3.2 cumulative GPA required).
  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate is $95,000.

Education:Bachelor's DegreeEmployment Type:

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