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Adobe Analyics Data Engineer

Cathedrals
2 months ago
Applications closed

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Lead, Data Scientist (Deep Learning), Peacock Video Streaming Service

Industry Analyst / Data Scientist - Market Growth & Financial Modelling

Adobe Analyics Data Engineer 

Our client is unable to provide sponsorship. 

A leading Mar-Tech corporation is hiring a Adobe Analyics Data Engineer to join a team of technical consultants with a background in data science/analytics who has experience with Data warehousing concepts who has EXCELLENT communication capabilities. This is a junior to mid level position, where you will be given time to develop and enhance your capabilities in Power BI, Adobe Analytics, and Google Analytics/Python. Our client is paying a basic salary of £35,000 (circa) + a Quarterly Bonus of 5 to 10% + additional benefits to be based in London on a hybrid basis.

Key Responsibilities:

Analyze and optimize digital performance using tools like Adobe Analytics and Google Analytics
Implement and manage tracking solutions with Adobe Launch and data layers
Develop actionable insights from complex data sets and communicate them clearly to both technical and non-technical stakeholders
Build compelling dashboards and visualizations using Tableau and Power BI
Manage data workflows with ETL tools, and enhance data-driven decision-making
Work closely with clients to understand their business objectives and deliver tailored insights
Contribute to A/B testing, attribution modeling, and customer journey analysis effortsKey Skills & Experience:

Bachelor’s degree in Data Science, Analytics, Business, Marketing, or related field
Proven experience in a digital data role, ideally within a consultancy or client-facing environment is a must have
Expertise in Adobe Analytics, Adobe Launch, and Google Analytics is a must have
Familiarity with cloud-based data platforms (AWS, Google Cloud, Snowflake) is a must have
Hands-on experience with JavaScript and data layer implementations
Strong proficiency in Tableau and Power BI for data visualization
Knowledge of Tealium or other tag management systems
Solid understanding of ETL processes and data processing workflows
Strong client-facing communication skills and the ability to manage stakeholder expectations
Experience with A/B testing, attribution modeling, and customer journey analysis is a plusIf you're a problem-solver with a passion for data and analytics, we want to hear from you! Apply now and take the next step in your career

National AI Awards 2025

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