Director, Data Analytics Consulting

Role overview

Data analytics consulting

• Design and implement qualitative and quantitative analysis methods to discover trends, identify red flags, and improve operational efficiency.
• Create dynamic visualization and monitoring dashboards for reporting and ongoing analysis of client risk areas.
• Collect, aggregate, model, and analyze data from enterprise systems to support clients and counsel.
• Establish relationships among disparate data sources and construct centralized data models.
• Use statistical and mathematical methodologies to identify anomalies and patterns in complex data.
• Advise on challenging, high-profile, and multi-jurisdictional data analytics matters.

Business development and leadership

• Develop global data analytics and technology service offerings and generate thought leadership and best practices.
• Present data analytics capabilities to prospective corporate clients and law firms.
• Support regional marketing, business development, and sales prospecting activities.
• Prepare project proposals with budget, staffing, and time estimates.
• Mentor junior team members and support effective stakeholder communications.

Project management

• Deliver accurate work on time throughout the project life cycle while responding to evolving client needs.
• Manage client expectations, identify and mitigate project risks, and seek to exceed client expectations.
• Oversee the gathering, documentation, and management of client and project requirements.

Requirements

• Significant professional and technology experience, preferably in forensic accounting, legal technologies, strategy, compliance, or investigations.
• Knowledge of regulated industries such as pharmaceuticals, financial services, and insurance is preferred.
• Knowledge of anti-fraud, investigations, anti-bribery and corruption, and regulatory requirements analysis is required.
• Advanced analytics experience covering visualization, predictive modeling, data management, ETL, aggregation, and reporting is required.
• Hands-on structured-data analysis experience and advanced Microsoft SQL Server query-building knowledge are required.
• A bachelor's degree is required; postgraduate study or equivalent qualifications are a plus.

Technical and professional skills

• Advanced experience with Microsoft SQL Server, SAP, Oracle, or other database applications.
• Familiarity with SQL, Tableau, Python, SAS, ACL, VBA, Power BI, or Java is preferred.
• Strong presentation, interpersonal, logical reasoning, and client-facing communication skills are required.
• Ability to work under pressure, manage competing priorities, and travel internationally when requested.

Benefits and working arrangements

• Control Risks offers a competitive compensation and benefits package and a discretionary global performance bonus scheme.
• The company supports hybrid working arrangements where possible, combining office and client time with flexible and remote working.