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- Tasks: Transform data into strategic insights to enhance customer experience and drive business decisions.
- Company: Join a fast-growing group of ethical eCommerce brands making a positive impact.
- Benefits: Enjoy hybrid working, professional development support, and the chance to influence meaningful change.
- Why this job: Be at the forefront of data-driven decision-making in a values-led environment.
- Qualifications: Strong SQL skills and eCommerce or retail analytics experience are essential.
- Other info: Office attendance required three days a week in Oxfordshire; must be within a 45-minute commute.
The predicted salary is between 28800 - 48000 £ per year.
A fast-growing group operating across multiple ethical and purpose-led eCommerce brands is hiring a Commercial Insights Analyst to help transform data into strategic advantage. From sustainable retail to premium food and circular economy products, this is a great opportunity to apply your analytical mindset in a business where data drives everything.
This is a hybrid role based in Oxfordshire, with office attendance required on Tuesdays, Wednesdays, and Thursdays. To be considered, applicants must be located within a 45-minute commute.
You'll sit at the heart of commercial decision-making, using behavioural, transactional, and digital data to improve customer experience, boost conversion, and increase lifetime value. Working across a variety of brands and business units, your insights will directly influence pricing, promotions, stock strategy, and customer journeys.
This role is ideal for an analyst with eCommerce or retail experience, who thrives on solving real business challenges and collaborating cross-functionally to create measurable impact.
What You’ll Be Doing- Identify behavioural trends and customer signals to improve site conversion
- Use browsing and purchase data to personalise user journeys and influence CRM strategy
- Run commercial experiments (A/B tests, pricing trials, segmentation) to drive margin and retention
- Build and maintain dashboards and reports that guide business teams
- Collaborate with marketing, product, tech, and supply chain teams to embed insight-led decisions
- Improve tracking setup and support the overall maturity of the analytics function
- Strong SQL and BigQuery knowledge
- Experience with Google Tag Manager (GTM) and understanding of data layers
- Familiarity with server-side tracking principles
- Exposure to Power BI or similar BI tools is a bonus
- Background in eCommerce or retail analytics is highly desirable
- Comfort working with key business metrics (e.g. profit margin, AOV, customer value)
- Experience in A/B or multivariate testing
- Work across diverse eCommerce brands with meaningful impact
- Join a growing analytics team with genuine support for development
- Help shape how purpose-led businesses use data to grow
- Hybrid working with 3 days in the office near Wallingford
If you're a commercially-minded analyst looking to apply your skills in a values-driven business, this is a chance to work at the intersection of insight, innovation, and ethical retail.
Insights Analyst employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst
✨Tip Number 1
Familiarise yourself with the specific eCommerce brands that the company operates. Understanding their unique selling points and customer demographics will help you tailor your insights to their needs.
✨Tip Number 2
Brush up on your SQL and BigQuery skills, as these are crucial for the role. Consider working on personal projects or online courses that allow you to practice these skills in a real-world context.
✨Tip Number 3
Network with professionals in the eCommerce and retail analytics space. Attend industry events or join relevant online communities to gain insights and make connections that could benefit your application.
✨Tip Number 4
Prepare to discuss your experience with A/B testing and how you've used data to drive business decisions in previous roles. Be ready to share specific examples that demonstrate your analytical mindset and problem-solving skills.
We think you need these skills to ace Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in eCommerce or retail analytics. Emphasise your analytical skills and any specific projects where you've used data to drive business decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for ethical and purpose-led businesses. Mention how your skills align with the role's requirements, particularly in using data to improve customer experiences and drive conversions.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in SQL, BigQuery, and any experience with Google Tag Manager. If you have worked with Power BI or similar tools, make sure to include that as well.
Highlight Collaborative Experience: Since the role involves working cross-functionally, provide examples of past collaborations with marketing, product, or tech teams. This will demonstrate your ability to embed insight-led decisions within a team environment.
How to prepare for a job interview at Digital Waffle
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to drive decisions in previous roles. Highlight your experience with SQL and BigQuery, as well as any relevant projects that demonstrate your analytical mindset.
✨Understand the Business Context
Familiarise yourself with the company's eCommerce brands and their values. Be ready to discuss how your insights can contribute to their mission of ethical retail and how you can help improve customer experiences.
✨Prepare for Technical Questions
Expect questions related to your technical skills, especially around Google Tag Manager and A/B testing. Brush up on these topics and be ready to explain how you've applied them in real-world scenarios.
✨Demonstrate Collaboration Skills
Since the role involves working cross-functionally, prepare to share examples of how you've successfully collaborated with marketing, product, and tech teams in the past. Emphasise your ability to communicate insights effectively to different stakeholders.
