Stock Analyst

We are seeking a skilled and detail-oriented Stock Analyst (Loss Prevention) to join our team. The successful candidate will play a crucial role in enhancing our loss prevention strategies by leveraging data to identify risks, detect patterns, and recommend actionable insights to minimise losses and enhance operational efficiency. If you are passionate about data analysis and have a strong focus on loss prevention, we invite you to apply and contribute to our continued success.

Responsibilities:

• Data Collection & Analysis: Gather and analyse data from various sources (databases, surveillance systems, internal reports, etc.) to detect patterns, trends, and potential risks related to shrinkage, theft, fraud, and operational inefficiencies.
  
  
• Loss Detection: Identify unusual stock movements, discrepancies, and any inconsistencies that could signal potential loss events (e.g., inventory theft, supplier issues, or stock mismanagement).
  
  
• Reporting & Dashboards: Develop and maintain regular and ad-hoc reports, scorecards, and dashboards that track key loss prevention metrics (e.g., shrinkage rates, fraud incidents, and operational KPIs). Ensure these reports provide actionable insights for senior leadership.
  
  
• Root Cause Analysis: Investigate the root causes of loss-related events, using data-driven insights to propose corrective actions. Work closely with cross-functional teams (e.g., Security, Operations, Finance) to implement solutions and reduce future risks.
  
  
• Collaboration: Work closely with internal teams, including Store Operations, Supply Chain, IT, and Finance, to support the development and execution of loss prevention initiatives.
  
  
• Process Improvement: Continuously assess and improve data collection, analysis, and reporting methods to enhance the accuracy and efficiency of loss prevention strategies.
  
  
• Training & Guidance: Provide training and guidance to operational teams on how to use data to identify potential loss areas and improve day-to-day practices that reduce shrinkage.
  
  
• Investigations & Audits: Support internal investigations related to theft or other loss prevention issues, providing data analysis and insights that help with resolving incidents.
  
  
• Compliance & Standards: Ensure that all loss prevention activities and data management practices comply with internal policies and external regulations.
  
  Person Specification:
  
  
• Previous Experience: Experience in a data analysis or loss prevention role, preferably within retail, logistics, or similar sectors.
  
  
• Data Analysis Expertise: Strong analytical skills with experience in interpreting large datasets, identifying trends, and deriving insights to improve business outcomes.
  
  
• Advanced Excel Skills: Proficiency in Excel, including complex formulas, pivot tables, and data manipulation. Knowledge of data visualisation tools (e.g., Power BI, Tableau) is a plus.
  
  
• SQL & Database Knowledge: Intermediate to advanced SQL skills for querying and analysing data from various databases.
  
  
• Attention to Detail: A meticulous approach to data analysis and problem-solving, with a focus on identifying and resolving discrepancies that could lead to loss.
  
  
• Problem Solving & Critical Thinking: Strong ability to think critically, identify issues, and propose actionable solutions based on data.
  
  
• Communication Skills: Clear, concise, and effective communication skills, capable of presenting complex data and insights to stakeholders at all levels, both verbally and in writing.
  
  
• Collaboration & Stakeholder Management: Proven experience working with cross-functional teams, managing stakeholders, and driving initiatives that reduce risks and improve operational efficiency.
  
  What we offer:
  
  
• Competitive salary
  
  
• Pension
  
  
• Long service awards
  
  
• Employee discount
  
  
• Cycle to work scheme
  
  If you are interested or have the relevant experience and are currently looking for a new challenge then please submit an up to date CV by clicking the ‘apply’ button