Data Analyst at Petco utilizing advanced analytical techniques to optimize customer behavior insights. Collaborating with teams to influence decisions, enhance retention, and improve performance.
About the role
- Manager leading forensic analytics to address fraud and misconduct for KPMG clients. Overseeing projects, mentoring team members, and developing innovative analytical solutions.
Responsibilities
- Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured
- Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required
- Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients
- Oversee and train junior colleagues
- Participate in business development activities including marketing, knowledge sharing and practice development
Requirements
- Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment
- Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed
- Has experience in translating non-technical business requirements into analytical solutions
- Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems
- Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques
- Works independently, resolving complex issues with little or no supervision or direction
- Has experience of managing a junior team to achieve the required objectives
Benefits
- flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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