At a Glance
- Tasks: Analyse data to enhance loss prevention strategies and minimise operational losses.
- Company: Join a dynamic team focused on improving retail efficiency and security.
- Benefits: Enjoy competitive salary, pension, employee discounts, and a cycle to work scheme.
- Why this job: Make a real impact by using data to prevent losses and improve business outcomes.
- Qualifications: Experience in data analysis or loss prevention, strong Excel and SQL skills required.
- Other info: Ideal for detail-oriented individuals passionate about data and problem-solving.
The predicted salary is between 28800 - 43200 £ per year.
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.
Stock Analyst in Plymouth employer: TQR
Contact Detail:
TQR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Stock Analyst in Plymouth
✨Tip Number 1
Familiarise yourself with the latest trends in loss prevention and data analysis. Understanding current challenges and solutions in the industry will help you speak confidently about how you can contribute to our team.
✨Tip Number 2
Network with professionals in the field of stock analysis and loss prevention. Attend relevant workshops or webinars, and connect with people on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Brush up on your SQL and Excel skills, as these are crucial for the role. Consider taking online courses or tutorials to enhance your proficiency, which will make you stand out during the interview process.
✨Tip Number 4
Prepare to discuss specific examples from your past experience where you've successfully identified risks or improved processes. Being able to share concrete results will demonstrate your capability and fit for the role.
We think you need these skills to ace Stock Analyst in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis and loss prevention. Use specific examples that demonstrate your analytical skills and attention to detail, particularly in retail or logistics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and loss prevention. Mention how your skills align with the responsibilities outlined in the job description, and provide examples of how you've successfully identified risks or improved processes in previous roles.
Highlight Technical Skills: Emphasise your proficiency in Excel, SQL, and any data visualisation tools you are familiar with. Provide specific instances where you used these skills to analyse data or create reports that led to actionable insights.
Showcase Communication Skills: In your application, illustrate your ability to communicate complex data insights clearly. Mention experiences where you presented findings to stakeholders or collaborated with cross-functional teams to implement solutions.
How to prepare for a job interview at TQR
✨Showcase Your Data Analysis Skills
Be prepared to discuss your experience with data analysis in detail. Highlight specific projects where you successfully identified trends or patterns that led to actionable insights, especially in loss prevention contexts.
✨Demonstrate Attention to Detail
During the interview, provide examples of how your meticulous approach has helped identify discrepancies or issues in previous roles. This will show your potential employer that you have the right mindset for a Stock Analyst position.
✨Prepare for Technical Questions
Expect questions related to SQL and Excel, as these are crucial for the role. Brush up on your skills and be ready to solve problems or analyse data on the spot to demonstrate your proficiency.
✨Communicate Clearly and Effectively
Practice explaining complex data insights in simple terms. Being able to communicate your findings clearly to stakeholders is essential, so think of ways to present your past experiences in a concise manner.