Adobe Analytics Specialist — Conversion & Attribution

Sanderson Recruitment Plc; Greater London; On-site; GBP 60,000 - 85,000; Part time

Job summary

Sanderson Recruitment Plc is seeking an experienced Adobe Analytics Analyst for a blue-chip retail client. This hands-on role focuses on implementation and analyst work, turning the agreed analytics direction into tested, documented solutions with 1–2 days onsite per week.

You will partner with Digital Analytics, Product and Engineering to close gaps, specify tracking changes, build attribution models, run QA, document logic, and transfer knowledge to the internal team.

Qualifications

• Hands-on Adobe Analytics experience with Analysis Workspace, eVars and events.
• Experience measuring conversions in high-volume e-commerce/retail.
• Ability to build and test attribution models and interpret results.
• Strong knowledge of web/app analytics, consent impacts and data quality.
• Experience with tag management and data layers, Tealium preferred.

Responsibilities

• Build and validate conversion-rate methodology in Adobe Analytics across Digital, Web, App and Pay at Browse.
• Collaborate with analytics, product, engineering to close Failure States gaps and update logic.
• Specify tracking changes for data layers and Adobe configuration to address gaps.
• Create/test attribution models and quantify channel impacts with interpretation guidance.
• Develop test plans, perform QA, and maintain logs of decisions and dependencies.
• Document implemented logic and transfer knowledge to the internal team.

Skills

Adobe Analytics

Analysis Workspace

Web & App Analytics

Data quality validation

Tealium tag management

E-commerce analytics

Tools

Tealium

Adobe Data Feeds

APIs

Job description

Sanderson Recruitment Plc is seeking an experienced Adobe Analytics Analyst for a blue-chip retail client. This hands-on role focuses on implementation and analyst work, turning the agreed analytics direction into tested, documented solutions with 1–2 days onsite per week.

You will partner with Digital Analytics, Product and Engineering to close gaps, specify tracking changes, build attribution models, run QA, document logic, and transfer knowledge to the internal team.