National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

eComm Data Analyst

ProCook
Gloucester
1 week ago
Create job alert

We are looking for a talented and experienced Data Analyst with expertise in data analytics and digital analytics to join our team.
As an Ecommerce Data Analyst at ProCook, you will play a pivotal role in website performance, customer behaviour, conversion metrics to inform strategic decisions and optimise the user experience on our site.
Additionally, you will also report and analyze sales data to key stakeholders on a regular basis.

Requirements

Key Responsibilities:

  • Utilise Google Analytics 4 (GA4) and other analytics tools to track, measure, and analyse key eCommerce metrics and customer journeys.
  • Prepare PowerBI/Looker Studio Dashboards for Ecommerce team and other teams on a regular/ad-hoc basis
  • Implement and maintain tracking configurations, event tagging, and custom dimensions in GA4 to ensure accurate data collection and reporting.
  • Generate actionable insights through data analysis and visualisation, identifying trends, patterns, and opportunities to improve the effectiveness of our clients' online stores.
  • Collaborate with design, development, and marketing teams to conduct data-driven experiments, A/B tests, and user research to optimise the user experience and drive conversion rate optimisation (CRO).
  • Develop and maintain custom reports, dashboards, and performance metrics tailored to the specific needs of our clients and internal stakeholders.
  • Provide regular reporting and analysis on eCommerce KPIs, highlighting areas of success and areas for improvement to inform strategic decision-making and campaign optimisation.
  • Stay informed about industry trends, best practices, and emerging technologies in eCommerce analytics, data visualisation, and user experience design.
  • Support Marketing and Trading with budget forecasting

Qualifications:

  • 2+ years of experience working as a Data Analyst or similar role, with a focus on eCommerce analytics and user behaviour analysis.
  • Demonstrated proficiency in Google Analytics 4 (GA4), including hands-on experience with event tracking, custom dimensions, and advanced segmentation.
  • Familiarity or hands on experience with attribution tools such as Northbeam, Mixpanel, Hubspot, Heap, etc
  • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights to drive business results.
  • Proficiency in data visualisation tools such as Power BI, Looker Studio, Tableau, or similar.
  • Good working knowledge of SQL and DAX queries
  • Good knowledge of digital optimisation platforms such as Microsoft Clarity, and Datadog
  • Proficiency in AB testing tools like Sitespect (or similar such as Optimizely, AB Tasty, Adobe Target, VWO etc). A basic understanding of HTML, JavaScript, CSS would be a plus.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • A basic understanding of web and digital marketing platforms such as Google Ads, Facebook/social Ads, Affiliate platforms and SEO tools such as Google Search Console, Ahrefs etc
  • Good knowledge of commercial optimisation

Desirable Qualities:

  • Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, Relational databases is a plus
  • Familiarity with current trends in Analytics, Ecommerce, AI Search, LLMs, Marketing would be desirable
  • Consistent and a proactive contribution to improve the user experience and ecommerce sales would be highly appreciated

Benefits

  • 💰Salary is £30,000 - £35,000
  • 🏢 Hybrid Working: 3 days in our inspiring ProCook HQ, 2 days flexible remote
  • 🍽   Subsidised meals when in the office
  • 🏋️‍♂️ Onsite gym
  • 🅿️ Free parking
  • 🏆 Opportunity to work with a passionate team
  • 🎯 Performance-based bonus
  • 🚀 Be part of a fast-growing company
  • 👶 Enhanced parental leave
  • 🛍  40% staff discount + 5 friend and family discount codes at 30%
  • 🌍 2 x Annual paid volunteering day
  • 📞 Employee Assistance Programme
  • 👥 Friends and Family Referral Scheme
  • 🏖️33 Days Annual Leave (including bank holidays) + you can buy up to 5 more days
  • 📖 Learning and development programmes

We Welcome Everyone

At ProCook we are committed to diversity and inclusion, and we welcome applications from people of all abilities.


If you require any reasonable adjustments to support you through the application or interview process, please let us know. We’re committed to making our recruitment process as inclusive and accessible as possible.

About ProCook’s Sustainability Commitment:


At ProCook, sustainability is at the heart of what we do. 

As a certified B Corporation, we strive to balance profit with purpose, focusing on reducing waste, and ensuring ethical business practices. 

By joining our team, you will contribute to our efforts in creating a positive impact on the planet.

Related Jobs

View all jobs

Senior Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.