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For Companies At a Glance
- Tasks: Analyse product performance and market trends to drive product decisions.
- Company: Join a dynamic international business with a focus on innovation.
- Benefits: Enjoy 25 days leave, pension plan, life assurance, and more.
- Other info: Hybrid working model with excellent career growth opportunities.
- Why this job: Perfect for data lovers wanting to make an impact in product management.
- Qualifications: Experience in product management and strong data analysis skills required.
The predicted salary is between 30000 - 40000 £ per year.
The Opportunity: Are you a self-starter with confidence in dealing with people, have great attention to detail, the ability to analyse and input data, conduct research via the internet and by talking to others, and have a background in product merchandising? Then we have a really interesting and varied role, offering hybrid working, in an essential customer market which will utilise all of these skills daily!
The Product Data Analyst will be responsible for reviewing and analysing product performance and market trends to proactively manage the life cycle of the product range for this international business.
- Review and analyse product performance and market trends to proactively manage the life cycle of the product range, taking lead on all product decisions throughout the group.
- Take responsibility for supporting the pricing team in setting product pricing and margin control.
- Conduct market research and regularly review and comment on the activity of competitors and OE brands in order to stay abreast of the competition.
- Proactively utilise available market intelligence to recognise market opportunity and react quickly, to translate into results.
- Lead on group marketing communications plan to introduce, enhance and exit products efficiently.
You’ll be able to offer:
- Superb data analysis skills and a love of all things 'data'.
- Active experience in a Product Management role within a retail environment, stock merchandising, or an FMG business.
- Proven ability to manage multiple projects in parallel.
- Experience of managing key stakeholders and supplier relationships.
- Excellent verbal and written communication skills.
- Strong data reporting and interpretation skills.
Company Benefits: 25 days paid annual leave + bank holidays, Company Pension Plan (Salary Sacrifice) - Employer contributions of 6% (with min of 3% employee contributions), Life assurance cover 2 x basic salary (rising to 3 x basic salary for company pension scheme members), Employee Assistance Programme, 24/7 Virtual GP, Will writing – free service through YuLife, Bupa Critical Illness Plan (80% subsidised by the Company)*, Company profit share scheme (only for non-bonus related contracts), following 2 years service.
Working Hours: 9-5.15 Monday to Friday – Hybrid working available, currently 3 days in the office (Tues, Wed, Thurs) and 2 from home if required (Mon and Fri).
Locations
Product Data Analyst in Devon, Exeter employer: Sparex Limited
Contact Detail:
Sparex Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Analyst in Devon, Exeter
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us that you’re not just another candidate; demonstrate your passion for data analysis and how it can drive product success.
✨Tip Number 3
Practice your data storytelling skills! Be ready to explain how your analysis has led to actionable insights in past roles. We want to see how you can turn numbers into narratives that influence decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Product Data Analyst in Devon, Exeter
Some tips for your application 🫡
Show Your Data Love: Make sure to highlight your passion for data analysis in your application. We want to see how you’ve used your skills to make a difference in previous roles, especially in product management or merchandising.
Tailor Your Application: Don’t just send the same CV and cover letter everywhere! Tailor your application to reflect the specific skills and experiences that match our job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills. Avoid fluff – we want to know what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, you’ll find all the info you need about the role right there!
How to prepare for a job interview at Sparex Limited
✨Know Your Data
As a Product Data Analyst, your love for data is crucial. Brush up on your data analysis skills and be ready to discuss specific examples of how you've used data to drive decisions in previous roles. Prepare to explain your thought process when analysing product performance and market trends.
✨Research the Market
Conduct thorough research on the company’s products and their competitors. Understand the current market trends and be prepared to share insights during the interview. This shows that you’re proactive and genuinely interested in the role and the industry.
✨Showcase Your Communication Skills
Since the role involves managing key stakeholders, practice articulating your thoughts clearly. Be ready to discuss how you've effectively communicated complex data findings to non-technical audiences in the past. Good communication can set you apart!
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to manage multiple projects or react quickly to market changes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical prowess.