IT- Forensic Technology-数据分析

Responsibilities:
• Work with multiple client engagement teams and focus on data analytics cases. Involve in electronic discovery and computer forensics operations on a variety of cases.
• Perform forensic analysis to determine flows of data/ files and to extract and analyze logs or audit trails from switches, routers or gateways.
• Participate in electronic (network) data collection exercises.
• Assist in preparing working papers, schedules and reports that will be delivered to our clients and other parties.
• Understand and follow workplace policies and procedures.
• Data Analysis operations include working with relational databases, analytical and statistical packages / tools - such as SQL Server, SAS, SPSS, and R, to analyze data in support of investigations, litigations and other engagements.
• E-Discovery operations include processing data, running quality control checks, review support and productions.
• Computer forensic operations include imaging suspect's computers and extracting relevant documents from the images using Encase and other tools.
• Collaborate with team members in executing the engagement and keeping managers updated on the engagement status.
• Maintain an efficient, innovative and team oriented environment. Contribute to the growth of the practice by supporting executives on sales pursuits, providing informal and formal training to staff, and innovating current processes.
• Develop and maintain productive working relationships with client personnel.
• Build strong internal relationships with other service lines.
• Contribute to people initiatives, including training activities.
• Maintain an educational program to continually develop personal skills.
• Perform basic supervisory duties and mentor/train junior staff. Review the work of all staff and ensure the work steps are completed accurately.
Qualificaitons :

• Bachelor’s degree in Engineering, Mathematics, Statistics or Computer Science.
• 2-4 years’ of experience in an information technology environment, preferably including programming and relational database / statistical engine design and management.
• Knowledge of database computer languages such as SQL, Server, Oracle, SPSS Clementine, SAS Enterprise Miner, Megaputer, Polysnalyst, Tableau and Oversight.
• Knowledge of ccomputer forensics applications such as EnCase, FTK, Linus, Linen, HELIX or NUIX.
• Knowledge of programming languages such as R, Python, C++.
• Knowledge of eDiscovery processing and hosting/ review platforms is a plus.
• Knowledge of ERP systems like Kingdee, Ufida, SAP, Oracle Financials, or PeopleSoft is a plus.
• Knowledge of document review platform such as Clearwell, Relativity, Attenex.
• IT administration knowledge as well as hands-on computer hardware knowledge.
• Excellent communication and prioritization skills.
• Good command of spoken and written English and Chinese.
• Travelling is required.