Job Description
De Beers Group is looking for an E-commerce and Digital Optimization Specialist who can manage the execution of our A/B testing program for digital & e-commerce and support Brands and Diamond Desirability function with web and social tagging implementation.
This role is dedicated to working on high impact A/B and MVT testing and optimisation with the primary focus to provide coherent decision support, project & ROI validation, and valuable insight into what drives improvements for our business goals/KPIs.
This candidate will also serve as the go‑to expert on all matters related to website testing, optimisation and analytics tools, ensuring quality assurance tagging implementations and data accuracy to drive reliable analytics results, enabling a data‑driven decision making culture within and across teams.
The ideal candidate is passionate about brands, technology and able to pull together cross‑functional inputs into clear visual representations, experienced in tag management systems and testing environments.
Typical Tasks
* Serve as a subject matter expert on testing, optimisation and analytics for e‑commerce website and mobile platforms, build a brand and business best practice framework for testing systems and learning agenda
* Design, plan, execute insightful tests (test length, KPIs, AB test vs. MVT etc.), including hypothesis generation, sprint planning, and implementation that adhere to testing best practices using website experimentation tools such as VWO, Content Square etc.
* Hypothesis Validations – Generate test hypotheses and clearly validate opportunities/recommend actions that can have positive improvements in site experience and financials
* Provide feedback to stakeholders to influence test ideas that will yield the most impactful customer experience and profit improvements. Channels include demand generation, enrolment path, products, email, social, and client services
* Calculate Traffic Allocation – Understand traffic baselines for each area of business being tested, identify traffic required to achieve statistical significance; effectively use traffic for various concurrent tests
* Define, lead the validation and refinement of Test KPIs – Identify KPIs (i.e. conversion, engagement, retention, acquisition) needed for test analysis and understand test setup and data collection needs, data collection methodologies, and analytics roadmaps to enable data‑driven decision making
* Test Analysis – Drive proper A/B or MVT analysis with statistical rigor and perform cohort studies to answer “why?” on test result drivers. Ideate more complex tests from an analytical and insightful reporting perspective. Apply statistical and programming tools (e.g. Python, R) for data analysis, forecasting, and e‑commerce performance evaluation
* Deliver insights – Objectively deliver testing insights and help create a culture of data‑driven decision making
* Tell a concise story – Work in collaboration with the Visualisation Specialist to develop and deliver visualised insights and test summaries that strongly communicate the business ‘story’ behind the data and test outcomes
* Prioritise and maintain testing calendar to make best use of available traffic and testing resources and avoid any conflicts between tests
* Develop and maintain advanced analytics setups using website tagging tools (e.g. Google Tag Manager) and analytics platforms (e.g. Google Analytics 4, Looker, PowerBI), and ensuring data accuracy and actionable reporting
* Provide analysis of each experiment to understand the impact on key KPIs that can be fed to marketing/merchandising campaigns or product roadmaps. Analyse and interpret test results using statistical methodologies, delivering insights to stakeholders that drive business strategies and inform future initiatives
* Manage website migration projects, ensuring seamless analytics integration, dataLayer implementation, UAT testing, and compliance with technical standards. Validate accuracy of data and conduct QA of site tagging needed for tests
* Work with the wider analytics and digital teams to foster a culture of data‑driven decision making across e‑commerce and digital platforms with business impact
* Collaborate with cross‑functional teams, including product managers, developers, marketers, and the CMS team to strategise, execute, and test initiatives aligned with business objectives
* Implement and manage third‑party tracking systems to ensure compliance with data privacy regulations such as GDPR and CCPA. Use consent management tools for monitoring compliance
* Optimize e‑commerce platforms and Shopify store to improve data tracking accuracy and support third‑party integrations
* Spearhead digital marketing and social media campaign tracking, including Google Ads and Meta Business Manager setups. Monitor campaign performance and provide optimisation insights
* Lead data integration projects, such as consolidating purchase behaviour data with analytics platforms, customer databases and payment systems
* Troubleshoot and resolve issues related to analytics tools, custom scripts and technical integrations, maintaining smooth operational workflows
* Lead CRM analytics projects, including reporting, KPI tracking, and integration testing with customer relationship management platforms
Qualifications and Experience
* A Bachelor’s degree, MSc in Statistics, Mathematics or other quantitative scientific discipline, or equivalent experience
Knowledge & Technical Skills
* Advanced knowledge of website tagging and analytics tools, including Google Tag Manager implementation a must
* Google Optimise Implementation
* Experience working with Google Stack, CSS, HTML, Meta Pixels, Custom JS, SQL, Advanced Consent Mode on GA4, DataLayer
* Familiarity with data privacy regulations and tools (e.g. GDPR, CCPA, OneTrust)
* Results‑driven professional with exceptional detail and knowledge around metrics, specifically A/B, multi‑variant testing, statistical and ROI analysis
* Experience in programming languages such as Python or R for data analysis
* Experience with campaign tracking and e‑commerce platforms
* Strong business analyst skills; conducting feasibility analysis, requirements gathering, solution implementation
* Ad‑Serving platforms (Double Click, Ad Tech, Atlas) knowledge a plus
* Hypothesis formation and data identification
* Experience with data visualisation and storytelling
* Excellent written and verbal communication skills, including the ability to convey complex ideas clearly and to communicate with both technical and non‑technical audiences
* Ability to analyse and synthesize large volumes of complex data into actionable insights
* Excellent analytical skills
* Attention to detail
* Proven experience as a data analyst
* Willingness to be flexible and agile
Additional Information
* A great working environment
* Fantastic pension scheme
* 27 days of holiday + bank holidays with the opportunity to buy or sell 5 more days
* Private healthcare
* Mental health is a top priority for De Beers Group – we offer free subscription to Headspace and have mental health first aider
* Competitive salary
* Your Choice membership discounts
* Employee share schemes
* Staff discount
* Free breakfast & lunch at onsite restaurant
* Free onsite gym
* Flexible benefits package
Background Checks
Successful candidates will be required to complete background screening which may include a criminal check and validation of qualifications.
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