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For Companies At a Glance
- 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 interactions.
- Qualifications: Bachelor's degree in Data Science or related field; experience in digital data roles required.
- Other info: Ideal for problem-solvers passionate about data and analytics.
The predicted salary is between 28000 - 42000 £ per year.
Our client is unable to provide sponsorship. A leading Mar-Tech corporation is hiring an 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 Analytics Data Engineer employer: Intec Select
Contact Detail:
Intec Select Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Adobe Analytics 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 will provide tangible evidence of your skills to potential employers.
✨Tip Number 4
Network with professionals in the Mar-Tech industry through platforms like LinkedIn. Engaging with others in the field can lead to valuable connections and insights about the role, and may even result in referrals that could enhance your chances of landing the job.
We think you need these skills to ace Adobe Analytics 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 specific examples to demonstrate your skills in data warehousing and visualisation tools like Tableau and Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the key responsibilities and skills outlined in the job description, especially your client-facing communication abilities.
Showcase Technical Skills: Clearly outline your technical skills related to the position, such as your experience with JavaScript, ETL processes, and cloud-based data platforms. Providing concrete examples of past projects can help illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a data-driven role.
How to prepare for a job interview at Intec Select
✨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 used these tools, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
Since excellent communication is a key requirement, practice explaining complex data insights in simple terms. Be ready to provide examples of how you've communicated technical information to non-technical stakeholders in the past.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss scenarios where you've tackled data-related challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical thinking.
✨Familiarise Yourself with the Company
Research the Mar-Tech corporation and understand their business objectives. Tailor your responses to show how your skills can help them achieve their goals, especially in areas like A/B testing and customer journey analysis.
