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- Tasks: Analyse digital performance and create insights using Adobe Analytics and Google Analytics.
- Company: Join a leading Mar-Tech corporation focused on data-driven solutions.
- Benefits: Enjoy a competitive salary, quarterly bonuses, and hybrid work options.
- Why this job: Develop your skills in a supportive environment with exciting projects and client interaction.
- Qualifications: Bachelor’s degree in Data Science or related field; experience in digital data roles required.
- Other info: This is a junior to mid-level position with opportunities for growth.
Our client is unable to provide sponsorship. A leading Mar-Tech corporation is hiring a Adobe Analytics Data Engineer to join a team of technical consultants with a background in data science/analytics who has experience with data warehousing concepts and 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:
- Analyse 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 efforts
Key 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 plus
If 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.
Adobe Analyics Data Engineer employer: Intec Select Ltd
Contact Detail:
Intec Select Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Adobe Analyics Data Engineer
✨Tip Number 1
Familiarise yourself with Adobe Analytics and Google Analytics by exploring their features and functionalities. Consider taking online courses or certifications to deepen your understanding, as this will not only boost your confidence but also demonstrate your commitment to the role.
✨Tip Number 2
Practice your communication skills by explaining complex data concepts to friends or family who may not have a technical background. This will help you articulate your insights clearly during interviews, showcasing your ability to bridge the gap between technical and non-technical stakeholders.
✨Tip Number 3
Build a portfolio of projects that highlight your experience with data visualisation tools like Tableau and Power BI. Include examples of dashboards you've created or insights you've derived from data, as this tangible evidence can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the Mar-Tech industry through platforms like LinkedIn. Engaging with others in the field can provide valuable insights into the role and may even lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace Adobe Analyics Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics, particularly with Adobe Analytics and Google Analytics. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Mention specific projects or experiences that demonstrate your skills in data warehousing, ETL processes, and client communication.
Showcase Technical Skills: In your application, emphasise your proficiency in tools like Power BI, Tableau, and any experience with JavaScript or cloud-based platforms. Providing examples of how you've used these tools can strengthen your application.
Highlight Communication Abilities: Since excellent communication skills are crucial for this role, include examples of how you've effectively communicated complex data insights to both technical and non-technical stakeholders in previous roles.
How to prepare for a job interview at Intec Select Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Adobe Analytics, Google Analytics, and any data warehousing concepts. Highlight specific projects where you've implemented tracking solutions or developed dashboards using Power BI or Tableau.
✨Communicate Clearly
Since excellent communication is key for this role, practice explaining complex data insights in simple terms. Be ready to demonstrate how you can convey technical information to non-technical stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've approached data-related challenges in the past. Discuss your thought process and the steps you took to arrive at a solution, especially in client-facing scenarios.
✨Understand the Company’s Objectives
Research the Mar-Tech corporation and understand their business model. Be ready to discuss how your skills can help them achieve their goals, particularly in optimising digital performance and enhancing data-driven decision-making.
