Assistant Manager, Data Analytics; Forensic and Investigations

Assistant Manager, Data Analytics (Forensic and Investigations)

Interpath

London or Manchester or Leeds or Glasgow

Interpath is an international and fast-growing advisory business with deep expertise in a broad range of specialisms spanning deals, advisory and restructuring.

We deliver tangible results for global businesses, their investors, and stakeholders when complex problems arise, and critical decisions need to be made. Interpath is agile, independent, and conflict-free, and our passion for doing what’s right, every time, sets us apart.

Our diverse teams provide specialist technical knowledge combined with deep sector experience across our service line specialisms. Since our foundation in 2021, Interpath has grown rapidly, and we now have a presence across the UK, Ireland, France, Germany, Austria, Spain, BVI, Cayman Islands, Bermuda, Barbados, and Hong Kong. By 2030 we aim to be one of the world’s leading advisory firms with a truly global footprint.

Interpath Advisory is seeking an enthusiastic Assistant Manager in Data Analytics to join our growing Data Analytics team. This role will support both our Forensic practice (including investigations) and our Digital, Data and Technology capabilities.

We help businesses, government entities, and law firms solve complex problems and make informed decisions using advanced analytics and technology. Our work involves handling large and varied data sets from sources such as email, servers, cloud storage, social media, mobile devices, and collaboration tools. The Analytics team uses a range of tools and techniques to deliver insights and works closely with Forensic, Investigations, and eDiscovery teams.

As a D ata Analytics Assistant Manager , you will assist in delivering data-driven solutions for clients. This is a hands‑on role where you will learn and apply analytics techniques, support investigations, and help prepare reports and visualizations. Typical tasks include :

• Assisting with data collection, cleaning, and preparation for analysis.
• Supporting the development of dashboards and reports using tools like Power BI or Tableau.
• Helping extract and organize data from databases and other sources.
• Performing basic data analysis and quality checks under supervision.
• Assisting in preparing client deliverables such as reports, charts, and presentations.
• Learning and applying data transformation techniques (ETL) and basic statistical analysis.
• Supporting the team in managing project documentation and maintaining accurate records.
• Collaborating with colleagues across Forensic and Technology teams to meet client objectives.

• Previous full-time experience of 2+ years in data analytics, business intelligence, data science, technology consulting or a related profession;
• Experience delivering consulting services in the context of Financial Crime, Litigation, or Investigations;
• Excellent communication (both written and verbal), mathematical, and organisational skills;
• Ability to manage technically challenging workflows and identify areas of increased risk;
• Ability to work both independently and as part of a team in a high‑paced, multi‑task environment with attention to detail;
• Demonstrate experience in client facing roles and acting as principal point of contact on engagements;
• Flexibility with respect to assigned tasks and engagements due to challenging deadlines, changing deliverables, and evolving task priorities; and
• Strong ability and desire to utilise technology to solve complex problems.

• Basic understanding of information systems, ETL processes, automation, and their function within organisations;
• Familiarity with programming languages (SQL, Python) and other database applications;
• Understanding of PC environment and related software, including Microsoft Office applications;
• Knowledge of data engineering using data stores including MS SQL Server, Oracle, No
  
  SQL, Hadoop or other distributed data technologies. Experience using data visualization tools is a plus;
• Experienced with Excel to aggregate, model, and manage large data sets;
• Familiar with Microsoft Power BI and or Tableau skills, including ability to transform data, develop calculations and…