Hybrid Assistant Manager, Data Analytics – Forensic and Investigations

at Interpath Advisory

• Job title: Assistant Manager, Data Analytics – Forensic and Investigations
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Hadoop, MS SQL Server, NoSQL, Oracle, Python, SQL, Tableau
• Location requirements: Hybrid, London, United Kingdom

About the role

• Assistant Manager in Data Analytics supporting forensic investigations and digital technology solutions. Engaging with clients to deliver insights using advanced analytics from diverse data sources in a hybrid environment.

Responsibilities

• Assist in delivering data-driven solutions for clients
• Hands-on role where you will learn and apply analytics techniques
• Support investigations and help prepare reports and visualizations
• 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

Requirements

• 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;
• Strong ability and desire to utilise technology to solve complex problems.
• **Technical skills**
• 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, NoSQL, 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 measures, develop charts and tables, as well as develop interactive dashboards / reports;
• Proficient in PowerPoint and Word;
• A science or mathematical bachelor’s degree is preferred (e.g. Management Information Systems, Computer Information Systems, Accounting, Finance, Economics or Engineering).

Benefits

• Competitive and comprehensive reward package
• Core and optional benefits including compelling salaries