وظيفة مستشار تحليلات ويب شاغرة لدى Staff Connect SAUDI في جدة

Job Title: Senior Web Analytics Specialist

Job Location: Jeddah, Saudi Arabia

Role purpose

The Senior Web Analytics Specialist is responsible for the technical measurement, instrumentation quality and behavioral understanding of end-to-end digital customer journeys across a high-volume transactional eCommerce environment. The position ensures that every critical customer interaction-from landing and registration through qualification, quotation, checkout, payment and completed purchase-is captured accurately, consistently and in a form that can support trustworthy conversion analysis and business decisions.

The role goes beyond reading dashboards or reporting campaign performance. It requires an implementation-oriented specialist who can design event taxonomies and data-layer specifications; configure and debug GA4 and Google Tag Manager; validate browser, cross-domain and, where applicable, server-side tracking; investigate discrepancies against backend transactions; and maintain reliable measurement as journeys and releases change.

The specialist will establish and operate behavioral analytics and experimentation capabilities to explain why customers abandon journeys, distinguish usability friction from measurement defects, translate findings into testable hypotheses and evaluate changes through rigorous A/B testing. The position works directly with product, UX, engineering and technology vendors to turn analytical requirements into working instrumentation and measurable improvements.

Success means a dependable, well-governed analytics implementation, faster identification of journey friction, a credible experimentation pipeline, and clear technical documentation and knowledge transfer. This is a product/web analytics engineering and CRO position-not a digital marketing, media buying, SEO or campaign management position.

Key responsibilities

Web analytics implementation and measurement

• Implement, configure, audit and troubleshoot GA4 and Google Tag Manager (GTM), including tags, triggers, events, parameters and conversion/key events.
• Own tracking plans, data layer requirements, event taxonomy, naming conventions and QA checklists across landing, registration, qualification, quote, checkout, payment and purchase.
• Work with engineering/vendor teams on browser and server-side measurement where appropriate, cross-domain tracking, consent-aware tracking, and release regression checks.
• Validate instrumentation with GTM Preview, GA4 DebugView, browser developer tools and transaction-level reconciliation; diagnose missing, duplicated or misattributed events.

Behavioral analytics and journey diagnostics

• Configure and analyze Hotjar, Microsoft Clarity, Contentsquare, FullStory or equivalent tools, including recordings, heatmaps and feedback signals.
• Combine behavioral evidence with GA4 funnel and segmentation analysis to identify abandonment, usability friction and high-impact conversion opportunities.
• Apply privacy-safe configuration and masking to protect sensitive customer information in recordings and events.

CRO and experimentation

• Develop hypotheses, test plans and measurement designs for A/B tests using VWO, Optimizely, AB Tasty or equivalent.
• Support experiment setup, QA, targeting, success and guardrail metrics, sample-size considerations and interpretation of results.
• Maintain an evidence-led conversion opportunity backlog, analyze experiment outcomes and verify post-release impact with product and UX stakeholders.

Attribution, data quality and enablement

• Establish UTM governance, acquisition source measurement and conversion tracking quality; reconcile discrepancies across marketing, analytics and backend transaction systems.
• Use BigQuery and SQL where needed to validate GA4 exports, construct journey analyses and support downstream BI datasets.
• Document implementation standards, audit findings, technical specifications and SOPs; deliver structured training and knowledge transfer to internal analytics, product and technology stakeholders.

Candidate requirements

Essential - use for agency screening

• 5+ years of hands-on technical web/product analytics implementation, preferably for transactional eCommerce or self-service digital products; evidence of personally configuring and debugging tracking is required.
• Advanced hands-on GA4 and Google Tag Manager implementation, event tracking, data layer design, QA and debugging experience; current Google Analytics certification (GA4-focused, e.g., Google Skillshop Google Analytics Certification) is mandatory and must be verifiable. Certification evidence should be supplied with the CV.
• Working knowledge of JavaScript, browser DevTools, HTTP requests and web tracking fundamentals.
• Hands-on use of at least one behavioral analytics platform and one A/B testing/experimentation platform.
• Ability to diagnose tracking defects, validate conversion events and turn journey data into prioritized recommendations.
• Effective collaboration with frontend/backend developers, product teams and external vendors.

Preferred - not all tools required

• Hotjar, Microsoft Clarity, FullStory or Contentsquare; VWO, Optimizely or AB Tasty.
• BigQuery, SQL, GA4 export, Power BI integration; Google Ads tracking and attribution.
• Adobe Analytics, Tealium, Amplitude or Mixpanel; consent management and server-side tagging.
• Experience in insurance, banking, fintech or eCommerce; additional certifications in GTM, experimentation or product analytics are advantageous.

Deliverables and success measures

• Initial tracking and tooling audit with prioritized remediation plan and baseline of critical conversion events.
• Approved measurement framework, data layer/event specifications, tracking QA procedures and ownership documentation.
• Operational behavioral insights cadence and a prioritized CRO experiment backlog.
• Validated tracking completeness, reduced measurement discrepancies and documented experiment results.
• Practical knowledge transfer, walkthroughs and handover materials for the internal analytics team.