Job Openings Forensic Data & Analytics Specialist

About the job Forensic Data & Analytics Specialist

Job Title: Forensic Data & Analytics Specialist

Department: Finance Department

Work Set Up: Hybrid

Reports To: Auditor Manager



JOB SUMMARY

The Forensic Data & Analytics Specialist is responsible for leveraging data analytics and digital monitoring tools to detect fraud, anomalies, and control breaches across business units. The role supports the Internal Audit function by providing data-driven insights, strengthening risk monitoring capabilities, and enabling proactive identification of irregular activities and emerging risks.

KEY RESPONSIBILITIES

Data Analytics & Risk Detection

  • Analyze large volumes of structured and unstructured data across Business Units to identify:
1. Fraud indicators and suspicious transactions
2. Unusual patterns, trends, and anomalies
3. High-risk activities and potential control breaches

  • Perform trend and variance analysis across financial and operational data sets.
  • Develop and apply data-driven audit techniques to enhance audit coverage and efficiency.
  • Support continuous auditing through automated data analysis and exception reporting.

Fraud Detection & Investigation Support

  • Identify potential fraud schemes, control circumvention, and policy violations using analytics.
  • Conduct deep-dive data analysis to support investigations and special audit reviews.
  • Provide data-driven evidence and insights for case building and resolution.
  • Collaborate with Internal Auditor and management on fraud risk assessments and mitigation strategies.

Dashboard Development & Business Intelligence

  • Develop and maintain interactive dashboards and reports for risk monitoring, including:

1. Inventory movements

2. Sales performance and anomalies

3. Production efficiency and variances

  • Translate complex data into clear, actionable insights for management decision-making.
  • Ensure dashboards are updated, accurate, and aligned with business requirements.
  • Support business units in understanding and utilizing analytics outputs.

Employee Activity Monitoring (Teramind)

  • Monitor employee activity using Teramind or similar tools, including:

1. Daily and weekly monitoring reviews

2. Pre- and post-employee separation reviews

  • Analyze user behavior to detect:
1. Unauthorized access or data handling

2. Suspicious system activities or policy violations

  • Generate and escalate employee activity reports for high-risk observations

Audit & Stakeholder Collaboration

  • Collaborate with Internal Audit teams to integrate analytics into audit engagements
  • Support auditors during fieldwork through targeted data extraction and analysis
  • Work with Business Units to validate findings and insights

Reporting & Documentation

  • Prepare and present:

1. Details of fraud detection and anomaly

2. Data analytics findings and insights

3. Employee monitoring reports

  • Maintain proper data governance, documentation, and audit trails for all analytics work

Continuous Improvement & Innovation

  • Identify opportunities to enhance data analytics capabilities and tools within Internal Audit
  • Contribute to building a data-driven audit culture within the organization.

Reporting Line & Governance

  • Reports directly to the Internal Audit (IA) Manager.
  • Executes assigned responsibilities in line with the approved audit plan, priorities, and strategic direction.
  • Provides regular updates on progress, key findings, and identified risks.
  • Escalates high-risk issues, control gaps, and delays in remediation in a timely manner.
  • Collaborate with the IA Manager in validating findings, developing recommendations, and finalizing reports.
  • Adheres to internal audit methodologies, quality standards, and documentation requirements.
  • Supports the IA Manager in strengthening governance, risk management, and internal control processes.

Key Outputs / Deliverables

  • Data Analytics Reports and Fraud Detection Reports
  • Risk Monitoring Dashboards (Power BI / Claude)
  • Employee Activity Monitoring Reports (Teramind)
  • Investigation Support Documentation
  • Data Models and Analytics Workpapers
  • Trend Analysis Reports

Tools & Systems

  • Data Visualization & BI Tools: Power BI
  • Data Processing & Analysis: Excel
  • Monitoring Tools: Teramind
  • Platforms: Cloud and analytics platforms (Claude)

QUALIFICATION AND REQUIREMENTS

Education

• Bachelor’s degree in Data Analytics, Accountancy, Information Systems, Computer Science, or related field.

Experience

  • 3-5 years of experience in data analytics, internal audit, forensic accounting, or related roles.
  • Experience in fraud detection, internal controls, or risk analytics is an advantage.
  • Exposure to manufacturing or FMCG environments is a plus.

SKILLS & COMPETENCIES

Technical Competencies

  • Strong knowledge of:
    • Data analytics, data mining, and visualization techniques
    • Fraud detection methodologies and control frameworks
  • Proficiency or experience is an advantage
      • Power BI, Claude, Teramind
      • Advanced Excel

    Behavioral Competencies

    • Strong analytical and critical thinking skills
    • High attention to detail and investigative mindset
    • Ability to translate data into actionable business insights
    • Strong communication and stakeholder engagement skills
    • High level of integrity and professional skepticism

    EQUAL OPPORTUNITY STATEMENT

    Dermorepubliq is an equal opportunity employer and is committed to fostering a diverse and inclusive work environment.


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