Data Analyst

Data Analyst

Oxford Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • 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 meaningful impact.
  • Benefits: Enjoy hybrid working, with three days in the office and support for your development.
  • Why this job: Be at the forefront of commercial decision-making in a values-driven environment.
  • Qualifications: Strong ETL, SQL, and BigQuery skills; eCommerce analytics experience preferred.
  • Other info: Must be within a 45-minute commute to Oxfordshire for office attendance.

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 contract Commercial Insights Analyst to help transform data into strategic advantage. 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.

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

Technical Skills:

  • Strong ETL, 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

Commercial Understanding:

  • 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

Why Join?

  • 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.

Data Analyst employer: Digital Waffle

Join a fast-growing, purpose-led eCommerce group in Oxfordshire, where your role as a Data Analyst will not only influence key commercial decisions but also contribute to meaningful change across diverse brands. Enjoy a supportive work culture that prioritises employee development and offers hybrid working arrangements, allowing you to balance professional growth with personal commitments. With opportunities to collaborate across teams and shape data-driven strategies, this is an ideal environment for those seeking impactful and rewarding employment.
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Contact Detail:

Digital Waffle Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data 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 and demonstrate your commercial awareness during discussions.

✨Tip Number 2

Brush up on your technical skills, especially in SQL and BigQuery. Being able to showcase your ability to manipulate and analyse data effectively will set you apart from other candidates who may not have the same level of expertise.

✨Tip Number 3

Prepare to discuss your experience with A/B testing and how you've used it to drive business decisions in the past. Having concrete examples ready will show that you can apply theoretical knowledge to real-world scenarios.

✨Tip Number 4

Network with current or former employees of the company on platforms like LinkedIn. Gaining insights into the company culture and expectations can give you an edge in understanding what they value in a candidate.

We think you need these skills to ace Data Analyst

ETL Knowledge
SQL Proficiency
BigQuery Experience
Google Tag Manager (GTM) Familiarity
Understanding of Data Layers
Server-Side Tracking Principles
Power BI or Similar BI Tools Exposure
Behavioural Trend Analysis
Customer Signal Identification
A/B Testing and Multivariate Testing Experience
Commercial Metrics Understanding
Dashboard and Report Building
Collaboration Skills
Analytical Thinking
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in eCommerce or retail analytics. Emphasise your skills in ETL, SQL, and any familiarity with tools like Google Tag Manager and Power BI.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your insights can contribute to the company's purpose-led mission. Mention specific examples of how you've used data to improve customer experiences or drive business results.

Showcase Technical Skills: Clearly outline your technical skills in your application. Include specific projects or experiences where you utilised SQL, BigQuery, or conducted A/B testing. This will demonstrate your capability to handle the responsibilities of the role.

Highlight Collaboration Experience: Since the role involves working with various teams, mention any past experiences where you collaborated with marketing, product, or tech teams. This shows that you can work effectively in a cross-functional environment.

How to prepare for a job interview at Digital Waffle

✨Showcase Your Technical Skills

Make sure to highlight your experience with ETL, SQL, and BigQuery during the interview. Be prepared to discuss specific projects where you used these skills to derive insights or improve processes.

✨Demonstrate Commercial Understanding

Familiarise yourself with key business metrics relevant to eCommerce, such as profit margin and customer value. Be ready to explain how your analytical insights can directly impact these metrics.

✨Prepare for Practical Scenarios

Expect to be asked about your experience with A/B testing and commercial experiments. Prepare examples of how you've designed and executed tests, and the outcomes that resulted from them.

✨Emphasise Collaboration Skills

Since the role involves working with various teams, be sure to discuss your experience collaborating with marketing, product, and tech teams. Share examples of how your insights have influenced cross-departmental decisions.

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