Negotiable
Outside
Remote
USA
Summary: The Digital Analytics Consultant (Adobe) Test Lead is responsible for reporting, analysis, measurement, testing, and optimization within the Adobe ecosystem. The role requires extensive experience with various Adobe tools and involves collaboration with teams to enhance data-driven decision-making. The consultant will analyze website traffic and user behavior, develop measurement plans, and coordinate A/B testing efforts. Continuous improvement and process optimization in analytics and data management are also key aspects of this position.
Key Responsibilities:
- Analyze website traffic, user behavior, and conversion data to identify trends and opportunities for improvement.
- Design and maintain Adobe reports and dashboards to track KPIs, business trends, and other significant metrics.
- Provide tagging requirements to the implementation team.
- Develop measurement plans and oversee data quality processes.
- Perform thorough analyses to pinpoint areas for improvement and suggest actionable solutions.
- Coordinate, implement, and analyze A/B tests and personalized experiences within Adobe Target.
- Monitor and analyze test results to identify winning variations and enhance future campaigns.
- Identify and implement opportunities for operational excellence and process optimization in analytics and data management.
Key Skills:
- Extensive experience with Adobe Analytics, Adobe Experience Platform (AEP), Adobe Experience Manager (AEM), and Adobe Target.
- Strong analytical skills and experience in data integration, journey mapping, and segmentation.
- Ability to design reports and dashboards to track KPIs and business trends.
- Experience in A/B testing and personalization strategies.
- Knowledge of best practices in digital marketing and analytics.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role : Digital Analytics Consultant( Adobe) Test Lead
Location : Plano, TX - Remote
Duration: Long term
Required Skills:
- Adobe Analytics 2. AEP (Adobe Experience Platform) 3. AEM (Adobe Experience Manager)
Job Description / Responsibilities:
We are looking for a talented Digital Analyst to join our team, specializing in reporting, analysis, measurement, testing, and optimization. A successful candidate will possess extensive experience with the Adobe ecosystem, utilizing tools such as Adobe Analytics, Adobe Warehouse, Adobe Target, Adobe Experience Manager (AEM), Adobe Experience Platform (AEP), Adobe Customer Journey Analytics (CJA), Adobe Commerce, and others. The candidate should require minimal guidance to build reports, present detailed analysis, and provide recommendations. This role involves collaboration with various teams to promote data-driven decision-making and enhance operational efficiency.
Data Analysis and Reporting:
- Analyze website traffic, user behavior, and conversion data to identify trends and opportunities for improvement.
- Design and maintain Adobe reports and dashboards to track KPIs, business trends, and other significant metrics.
- Experience in Cross- channel Analysis, Data integration for comprehensive Analysis, Journey Mapping and Segmentation.
- Provide tagging requirements to the implementation team.
Measurement and Optimization:
- Develop measurement plans and oversee data quality processes.
- Perform thorough analyses to pinpoint areas for improvement and suggest actionable solutions.
A/B Testing and Personalization:
- Coordinate, implement, and analyze A/B tests and personalized experiences within Adobe Target.
- Align with business on test objectives, identify target audiences, and suggest variations for testing.
- Monitor and analyze test results to identify winning variations and enhance future campaigns.
Continuous Improvement:
- Stay up to date with the latest best practices and features within Adobe Target and the broader digital marketing field.
- Continuously improve the effectiveness of personalization and optimization programs.
Process Improvement:
- Identify and implement opportunities for operational excellence and process optimization in analytics and data management.