Forensic Data Analyst

4 days ago

Sydney, New South Wales, Australia beBeeData Full time $150,000 - $200,000
Forensic Data Analyst Job

We are seeking a talented Forensic Data Analyst to join our team.

As a Forensic Data Analyst, you will be responsible for working across all areas of Forensics including anti-money laundering, corruption, fraud and other investigations, commercial disputes, business integrity assignments, transaction disputes, fraud prevention and compliance programme development.

You will work in multi-disciplinary teams across a range of industries, using data analysis to transform and improve businesses.

Your key responsibilities will include:

  • Use advanced data analytic tools to generate insights to support fraud investigations, disputes, and regulatory compliance challenges for clients.
  • Work with the broader Forensics team and consult with stakeholders; develop forensic procedures and define measurable data metrics and design investigative analysis.
  • Extract, validate, transform and load high-volume structured and unstructured data from multiple data sources (including ERP and accounting systems) for deeper analysis.
  • Develop algorithms, data mining, and data analytic solutions to assist clients with detection of fraud, bribery and corruption; irregular financial transactions; anomalous employee behaviour; and to target error and waste in their operations.
  • Support senior team members in the preparation and presentation of client deliverables, including using visualisation software to clearly present the benefits of the analysis to clients.

To be successful in this role, you will need:

  • Ability to communicate technical information in non-technical language and effectively collaborate with members of cross-functional teams.
  • Strong problem solving and critical thinking skills; and the ability to clearly and concisely present data, conclusions, and recommendations.
  • Proficiency and professional experience with data manipulation languages such as SQL, and statistical techniques (regression, clustering etc.) and analytical and modelling tools such as Alteryx, Python, R or similar packages.
  • Ability to hypothesise, analyse and draw conclusions from financial and operational data.

We offer a competitive salary which is open to negotiation depending on skills and experience. We also offer flexible work arrangements, a comprehensive benefits package, career development opportunities, and more.

Acknowledgement of Country: We acknowledge the Traditional Owners and Custodians of the lands on which we operate. We pay our respects to their cultures, and to their Elders – past, present, and emerging.

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