Stanley/Stella
E-Commerce
DigitalDataSpecialist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Digital Data Specialist at Stanley/Stella. Skills: Data analysis, Web analytics, Ecommerce, Business intelligence. Ensure data accuracy. Ensure data structure”
What You'll Achieve.
Data is accurate, compliant and trusted; Conversion opportunities identified & activated; Reporting becomes predictive and actionable; Real data culture is embedded
Industry & Context.
Identify friction; Unlock growth; Identify opportunities; Root cause analysis
What They're Looking For.
Must Have
Piwik PRO / GA / GTM + GDPR / CMP, Web analytics experience, Ecommerce experience, Event tracking experience, Conversion experience, Data layers design, Tracking specs design, Power BI (DAX, Power Query), UX analytics tools (Hotjar, Clarity…), CRO / A&B testing experience, Web scraping (Python or tools)
Nice to Have
SQL / BigQuery, Core Web Vitals / performance optimisation, Ecommerce / digital product environment
What You'll Do.
Ensure data structure
Ensure data compliance
Own tracking across website
Own tracking across webshop
Own tracking across marketing tools
Own tracking across future products
Design event taxonomy
Design tracking specs
Manage tagging (Piwik PRO / GA / GTM)
Manage ecommerce tracking
Manage paid media tracking
Validate implementations
Monitor impact on Core Web Vitals
Build Power BI reporting
Structure data models
Support business reviews
Enable self-service analytics
Translate complex data
Analyse journeys & funnels
Identify optimisation opportunities
Support personalisation
Turn insights into improvements
Monitor website performance
Analyse product usage
Analyse feature adoption
Support product analytics evolution
Support data-driven experiences
Support AI-enabled experiences
Benchmark competitors
Translate business needs
Work cross-functionally
Improve UTM discipline
Improve measurement quality
Improve analytics maturity
Drive data-driven culture
How You'll Work.
Team & Collaboration
Cross-functionally (Marketing, Product, BI, IT)
Communication Scope
Clear communicator; Business-driven narratives
Full Job Description
Your purpose at Stanley/Stella We’re looking for a Digital Data Specialist who will own and elevate our entire measurement ecosystem , turning raw data into clear, actionable insights that directly impact business decisions, customer journeys, and performance. You won’t just report numbers. You’ll challenge assumptions, uncover opportunities and influence strategy across marketing, ecommerce and digital products. You are the bridge between data, business and experience . Your role and impact 1. Tracking & Data Governance Ensure data is accurate, structured and compliant across all touchpoints. Own tracking across website, webshop, marketing tools and future products Design data layer, event taxonomy & tracking specs Manage tagging (Piwik PRO / GA / GTM): events, ecommerce, pixels, UTMs, paid media Validate implementations & run audits (quality, consistency, GDPR, CMP) Monitor scripts & impact on Core Web Vitals 2. Reporting & Business Insights Turn data into decision-making tools , not just dashboards. Build Power BI reporting (DAX, Power Query, AI) Define & align KPIs: performance, acquisition, funnels, retention, campaigns, AI visibility Structure robust data models for consistent tracking Support business reviews with clear insights (risks, opportunities, actions) Enable self-service analytics with strong governance Translate complex data into simple, business-driven narratives 3. Customer Journey Analysis, CRO & Optimisation Identify friction and unlock growth. Analyse journeys & funnels (Hotjar, Clarity, Mouseflow) Detect drop-offs & optimisation opportunities Support A/B testing, personalisation & CRO Partner with teams to turn insights into measurable improvements 4. Performance Monitoring & Product Analytics Connect performance, usage and product evolution. Monitor website performance (Core Web Vitals, RumVision) with IT Analyse product usage & feature adoption Contribute to event-based / product analytics evolution Support data-driven, AI-enabled experience
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