On behalf of our client in the manufacturing sector, we are seeking an experienced Data Analyst, with expertise in compliance monitoring, audit, or fraud detection in market placement, environmental schemes, or similar data-centric regulatory environments.
The Data Analyst will play a central role in supporting the effective administration and oversight of confidential data.
The primary responsibility is to coordinate market placement declarations, ensure accurate and timely data reporting by producers/distributors, monitor the integrity of submissions, and enhance business intelligence (BI) capabilities throughout the organisation. The successful candidate will be instrumental in mitigating non-compliance risks, detecting under-reporting, and driving initiatives to automate compliance and reporting processes.
Responsibilities:
-
Oversee the end-to-end process of platform availability and user access for market placement data entry, ensuring all designated parties (producers/importers) have access, promptly addressing technical or process-related issues, dispatching reminders, and actively following up on late, missing, or inconsistent submissions.
-
Design, implement, and execute comprehensive market surveillance protocols, including data auditing, reconciliation, and cross-verification of reported declarations to detect anomalies, under-declarations, and inconsistencies.
-
Develop, refine, and maintain data-driven tools and machine learning models for fraud detection, anomaly spotting, and pattern recognition within large datasets to identify irregularities indicative of non-compliance or fraudulent activities.
-
Serve as a point of contact with the regulatory authority, ensuring timely and accurate exchange of relevant compliance data. Liaise with internal teams (including operations, IT, compliance, and management) to support investigation of irregularities, resolve issues, and communicate analytical findings.
Requirements:
-
Demonstrated proficiency in business intelligence tools (more specifically, Power BI and DAX) for building interactive dashboards, data models, and management reports.
-
Applied experience in machine learning techniques and data analytics for the purposes of fraud detection, anomaly detection, or compliance monitoring.
-
Proficiency in programming/scripting languages for process automation and data manipulation.
-
Experience in compliance monitoring, audit, or fraud detection in market placement, environmental schemes, or similar data-centric regulatory environments is considered an asset.
-
Prior experience in a customer-facing or stakeholder management function, with strong communication skills and a proactive attitude.
-
Educational background in Data Science, Business Analytics, Statistics, Economics, Computer Science or relevant field.
-
Advanced knowledge of Microsoft Office suite, especially for data analysis and presentation.
-
Previous exposure to regulatory data submissions, market surveillance, compliance assurance, or related regulatory programmes.
-
Familiarity with the operational aspects of Deposit Refund Schemes and/or Extended Producer Responsibility (EPR) frameworks.
Personal attributes:
-
Analytical mindset with acute attention to detail.
-
Proactive problem-solver able to work creatively and independently and as part of a cross-functional team.
-
Strong organisational skills; able to balance multiple priorities and deadlines.
-
High ethical standards and commitment to data integrity, compliance, and non-disclosure