Digital Analytics Job Support
Digital analytics sits at the intersection of data, marketing, and engineering — and getting it wrong means misleading the entire business. Our digital analytics job support connects you with senior analytics engineers and implementation specialists who can resolve measurement issues live.
Web Analytics Platforms
Google Analytics 4 (GA4)
- Event-based data model – recommended vs. custom events
- Conversion configuration, attribution models, reporting comparisons
- Explorations – path analysis, funnel, segment overlap
- BigQuery export – schema, query patterns, deduplication
- GA4 + Consent Mode v2 – modelled conversions, GDPR compliance
Adobe Analytics
- Implementation via Web SDK vs. AppMeasurement
- eVars, props, events – migration to XDM schema
- Data Workspaces – calculated metrics, attribution IQ
- Adobe Experience Platform (AEP) integration
Tag Management
Google Tag Manager (GTM)
- Tag / trigger / variable architecture
- Custom HTML and JavaScript tags
- dataLayer design and push patterns
- GTM Server-Side – container configuration, client templates, routing
- Consent integration with OneTrust / Cookiebot
Tealium, Adobe Launch / Tags
- Data layer extensions, rules, extensions
- Migration from DTM to Tags
Customer Data Platforms & Event Tracking
Segment
- Source setup, destination configuration
- Identify / Track / Page / Group spec
- Functions, Personas, Protocols
Mixpanel, Amplitude, Heap
- Event taxonomy design, retroactive definitions
- Cohort analysis, funnel setup, retention reports
- SDK implementation vs. server-side tracking
Business Intelligence & Data Visualisation
Looker / Looker Studio
- LookML – explores, views, derived tables
- Dashboard blending, scheduled reports
Tableau, Power BI
- Data model design, DAX measures, calculated fields
- Row-level security, publishing to service
dbt for Analytics
- Model organisation, ref() and source(), tests
- Snapshots for slowly changing dimensions