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For Companies At a Glance
- Tasks: Analyse product data to drive improvements and enhance user experiences.
- Company: GSF Car Parts is a leading UK automotive parts distributor with a strong national presence.
- Benefits: Enjoy a collaborative work environment and opportunities for professional growth.
- Why this job: Join a dynamic team where your insights directly impact product performance and customer satisfaction.
- Qualifications: Strong analytical skills and proficiency in Excel are essential; communication skills are a plus.
- Other info: This role offers the chance to work with cross-functional teams and make a real difference.
The predicted salary is between 36000 - 60000 £ per year.
About The Role
Role Overview: As Product Data Analyst, you will be responsible for analysing product-related data to uncover insights that drive product improvements, enhance user experiences, and support strategic business decisions. This role requires close collaboration with product managers, engineers, and marketing teams to provide data-driven recommendations that optimise product performance.
Key Responsibilities:
- Analyse large datasets related to product usage, customer behaviour, and market trends.
- Utilise Excel and other analytical tools to create insightful reports, dashboards, and visualisations.
- Identify trends, patterns, and key insights to optimise product performance and ensure correct stock profiling.
- Collaborate with cross-functional teams to define and track key performance indicators (KPIs) for product success.
- Support the Product Manager by liaising with product suppliers to ensure data is correctly formatted for GSF platform uploads.
- Assist marketing in designing and implementing compelling category and product information, along with promotional campaigns to drive category growth.
About You
Key Skills and Competencies:
- Strong analytical skills with proficiency in Excel or similar data analysis tools.
- Excellent attention to detail and problem-solving abilities.
- Strong communication skills with the ability to present complex data insights clearly and impactfully.
- Ability to work both independently and collaboratively in a fast-paced environment.
This role is ideal for individuals with a keen eye for data, a passion for product performance, and the ability to translate insights into actionable strategies.
About Us
GSF Car Parts is one of the UK's leading automotive parts distributors, supplying thousands of independent garages throughout the UK and Ireland with parts, tools, garage equipment and specialist training. The group has over branches nationwide and a turnover exceeding £ million. Built on the heritage and success of a dozen local brand identities acquired over several years, we have traded as one brand since November 1. Our branch network is bolstered by centralised support and expertise from specialist departments in key areas such as procurement and supply chain, marketing and national accounts. The business also benefits from integrated IT systems, which include our industry leading catalogue system, Allicat, and access to the Group's national garage programme, Servicesure.
Ecommerce Product Analyst employer: The Parts Alliance
Contact Detail:
The Parts Alliance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ecommerce Product Analyst
✨Tip Number 1
Familiarise yourself with the automotive industry and the specific products that GSF Car Parts offers. Understanding the market trends and customer behaviour in this sector will help you demonstrate your analytical skills during interviews.
✨Tip Number 2
Brush up on your Excel skills, especially in data analysis and visualisation techniques. Being able to showcase your proficiency in creating insightful reports and dashboards can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the ecommerce and product analysis fields. Engaging with industry experts on platforms like LinkedIn can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss how you've used data to drive product improvements in past roles. Be ready to share specific examples of how your insights have led to actionable strategies and enhanced user experiences.
We think you need these skills to ace Ecommerce Product Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Product Data Analyst. Familiarise yourself with the key skills required, such as proficiency in Excel and analytical tools, as well as the importance of collaboration with cross-functional teams.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your analytical skills, attention to detail, and any previous experience with data analysis or product performance optimisation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and product performance. Use specific examples from your past experiences to demonstrate how you can contribute to the company's goals and support the Product Manager effectively.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for the role of a Product Data Analyst.
How to prepare for a job interview at The Parts Alliance
✨Know Your Data Tools
Familiarise yourself with Excel and any other analytical tools mentioned in the job description. Be prepared to discuss your experience using these tools to analyse data and create reports, as this will demonstrate your technical proficiency.
✨Understand Product Performance Metrics
Research key performance indicators (KPIs) relevant to product analysis. Be ready to explain how you would track and optimise these metrics, showcasing your understanding of what drives product success.
✨Prepare for Collaboration Questions
Since the role involves working closely with cross-functional teams, think of examples from your past experiences where you successfully collaborated with others. Highlight your communication skills and ability to present complex data insights clearly.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in data analysis and how you overcame them. This will illustrate your attention to detail and problem-solving abilities, which are crucial for the role.
