Assistant Manager, Data Analytics Forensic and Investigations - Interpath Advisory
Role details
Job location
Tech stack
Job description
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.
Requirements
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Previous full-time experience of 2+ years in data analytics, business intelligence, data science, technology consulting or a related profession;
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Experience delivering consulting services in the context of Financial Crime, Litigation, or Investigations;
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Excellent communication (both written and verbal), mathematical, and organisational skills;
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Ability to manage technically challenging workflows and identify areas of increased risk;
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Ability to work both independently and as part of a team in a high-paced, multi-task environment with attention to detail;
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Demonstrate experience in client facing roles and acting as principal point of contact on engagements;
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Flexibility with respect to assigned tasks and engagements due to challenging deadlines, changing deliverables, and evolving task priorities; and
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Strong ability and desire to utilise technology to solve complex problems.
Technical skills
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Basic understanding of information systems, ETL processes, automation, and their function within organisations;
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Familiarity with programming languages (SQL, Python) and other database applications;
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Understanding of PC environment and related software, including Microsoft Office applications;
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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;
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Experienced with Excel to aggregate, model, and manage large data sets;
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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;
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Proficient in PowerPoint and Word;
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A science or mathematical bachelor's degree is preferred (e.g. Management Information Systems, Computer Information Systems, Accounting, Finance, Economics or Engineering).
Benefits & conditions
At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including compelling salaries and a range of core and optional benefits. Read more about our benefits; Company Benefits - Interpath ?