Forensics Data Analytics Manager at PricewaterhouseCoopers (PwC)

Main Purpose of the Role:

The Forensics Data Analytics Manager's primary purpose is to provide essential data analysis services for client assignments and offer analytics support for investigations conducted by the forensics teams. The role focuses on leveraging data analytics techniques to aid in the detection and resolution of fraudulent activities within the organization and its clients. Additionally, the manager will play a pivotal role in introducing and integrating new technologies to enhance the efficiency and effectiveness of forensic investigations through advanced analytics.

Key Performance Areas:

Support Forensic Investigations through Data Analytics: Collaborate with the forensics teams to apply data analytics methodologies, draw insights from diverse datasets, and identify patterns or anomalies that may indicate potential fraudulent activities. This will involve utilizing SQL scripting, R/Python programming, and data visualization skills. Report Drafting: Assist in preparing comprehensive and insightful reports based on the analysis performed, presenting findings, trends, and potential risks to stakeholders. Clear and concise reporting will be essential to support decision-making and investigations.

Qualifications:

• Bachelor's degree in B.Tech, BSc Computer Science, BCom IT, or other relevant qualifications.
• Additional qualifications in applied mathematics, statistics, or similar fields would be advantageous, as they can enhance analytical capabilities.

Experience:

• A minimum of 8 years of experience in data analytics, with a demonstrated understanding of applying analytical techniques in real-world scenarios.
• Experience as a Forensic Data Analytics / Investigator, showcasing proficiency in using data analytics for forensic purposes.
• Knowledge of Software Development is beneficial and can aid in working with diverse data sources and custom tools.
• Familiarity with Machine Learning concepts and applications, enabling the manager to leverage advanced algorithms for deeper insights and pattern recognition.
• Prior consulting experience would be advantageous, as it can provide exposure to different industries and scenarios.

Key Competencies:

• Insightful Data Analysis: The ability to interpret and draw meaningful insights from diverse datasets, supporting investigations and identifying potential fraudulent activities.
• SQL Scripting Skills: Proficiency in writing SQL queries to manipulate and extract data from databases efficiently.
• R/Python Programming Skills: Competence in using programming languages like R or Python for data manipulation, analysis, and modeling.
• Data Visualization: Ability to create clear and visually appealing representations of data to facilitate understanding and decision-making.
• Proactive and Committed: A self-driven and dedicated approach to delivering high-quality results and meeting project timelines.
• Ability to Perform Under Pressure: Maintaining efficiency and composure when working in time-sensitive and high-stress situations.
• Planning and Organizing: Effective organization and management of tasks, resources, and priorities for successful outcomes.
• Conflict Management: Skillful handling of conflicts or challenges that may arise during investigations or project execution.
• Analytical and Solutions-Driven: Applying analytical thinking to identify problems and develop practical and innovative solutions.
• Flexible and Adaptable: Readiness to adapt to changing project requirements, tools, or technologies.
• Report Writing: Proficiency in preparing clear, concise, and comprehensive reports to communicate findings and recommendations effectively.