Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
IA
Hybrid Assistant Manager, Data Analytics – Forensic and Investigations
Posted 5 months ago
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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