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- Tasks: Transform complex web data into actionable insights that drive online success.
- Company: Join Matalan's dynamic Ecommerce team and make an impact.
- Benefits: Enjoy a 20% staff discount, wellbeing support, and career development opportunities.
- Other info: Collaborative culture with a focus on innovation and personal growth.
- Why this job: Be at the forefront of data analysis in a thriving retail environment.
- Qualifications: Degree level education or relevant experience with strong BigQuery and Google Analytics skills.
The predicted salary is between 40000 - 50000 £ per year.
Join our dynamic Ecommerce team at Matalan as an Ecommerce Data Analyst! In this role, you'll play a pivotal part in driving our online success by leveraging your technical expertise in data collection, tracking and analysis. You will transform complex web data into clear, compelling stories with actionable recommendations that directly influence business decisions.
A vital role within the Analytics and Ecommerce teams, you will deliver critical web data insights to the Ecommerce team. This involves transforming business questions into analytical problems, analysing intricate datasets, and presenting concise, persuasive, and actionable insights that drive informed decisions and optimize online performance.
Key Responsibilities- Delivery of actionable insight: utilise a variety of analytical techniques to deliver valuable actionable insight that address diverse business challenges.
- Stakeholder Relationship Management: Comfortable building strong relationships with key stakeholders to understand their analytical needs, identify challenges, opportunities and contribute to their strategic roadmaps.
- Commercial Impact Analysis: Able to evaluate the commercial viability of insights, quantify the impact of data driven decisions and prioritise future work that maximise value delivery.
- Analytical Tool and Process Development: Develop and implement tools, reports, and processes that enhance the analytical capabilities of the team and wider business, with a focus on data democratisation and self serve analytics for the key teams.
- Insight Democratisation: Create and maintain automated BI that promote data awareness and enhance the business knowledge of our online performance and customer behaviours.
- Active member of the Analytics team: Sharing insight, analytical process and underlying data changes in the ecomm area with the wider analytics and data science team as part of our regular knowledge sharing.
- Educated to a degree level or with demonstrable relevant experience.
- Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding.
- Strong Experience of Google analytics (GA4).
- Extensive Experience of visualisation software essential (e.g. Power BI/ Looker).
- Understanding of analysis methodologies essential (statistical techniques a plus).
- Awareness of ETL processes and database automation.
- Experience working with AI tools to generate automated insights advantageous.
- Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents).
- 20% staff discount, which increases with length of service.
- Thrive Recognition Scheme.
- Wellbeing support provided by the Retail Trust.
- Life Assurance.
- Retail Rewards platform offering discounts for other retailers.
- Pension Scheme.
- Access to a wide range of career development.
- Additional benefits may apply depending on your role and area of the business.
Ecommerce Data Analyst employer: Matalan
Contact Detail:
Matalan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ecommerce Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. Building relationships can give us insider info about the role and even lead to referrals.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and eCommerce. We recommend using the STAR method to structure your answers, showcasing your skills and experiences effectively.
✨Tip Number 3
Showcase your analytical prowess! Bring examples of your past work, especially those that demonstrate your ability to turn complex data into actionable insights. This will impress the hiring team and show them what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining our awesome team at Matalan.
We think you need these skills to ace Ecommerce Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Ecommerce Data Analyst role. Highlight your experience with BigQuery, SQL, and Google Analytics, and don’t forget to showcase any relevant projects that demonstrate your analytical skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Use it to share your passion for data analysis and how you’ve used insights to drive business decisions in the past. Keep it concise but impactful!
Showcase Your Analytical Skills: In your application, be sure to mention specific analytical techniques you've used and the results they achieved. We love seeing how you’ve transformed complex data into actionable insights that have made a difference.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Matalan
✨Know Your Data Tools
Make sure you brush up on your knowledge of BigQuery, SQL, and Google Analytics (GA4). Be ready to discuss how you've used these tools in past roles to drive insights. Prepare examples that showcase your ability to transform complex data into actionable recommendations.
✨Understand the Business Impact
Familiarise yourself with Matalan's business model and how data analytics can influence their online performance. Think about how you can quantify the impact of your insights and be prepared to discuss specific scenarios where your analysis led to measurable commercial outcomes.
✨Build Relationships
Since stakeholder relationship management is key, think about how you’ve successfully collaborated with different teams in the past. Prepare to share examples of how you’ve understood their analytical needs and contributed to their strategic goals. Show that you’re a team player who values communication.
✨Showcase Your Analytical Process
Be ready to explain your approach to analysing intricate datasets and developing tools or reports. Discuss any experience you have with BI automation and how it has enhanced data awareness in previous roles. This will demonstrate your capability to contribute to the analytical capabilities of the team.