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For Companies At a Glance
- Tasks: Create and maintain dashboards for a high-profile fashion brand's paid media data.
- Company: Join Publicis Groupe, a global leader in creativity and digital transformation with 80,000+ employees.
- Benefits: Enjoy flexible freelance work with opportunities to collaborate on exciting projects.
- Why this job: Be part of a dynamic team that turns data into impactful insights for major brands.
- Qualifications: Experience with Looker, Funnel.io, and data visualisation is essential.
- Other info: IR35 regulations may apply; send your CV to apply.
The predicted salary is between 36000 - 60000 £ per year.
Publicis Groupe, known for its world-renowned creativity, best in class technology, digital and consulting expertise, is the world’s third largest communications group. With more than 80,000 people in over 100 countries, the Groupe has four Solution hubs: Creative with Publicis Communications, Media with Publicis Media, Digital business transformation with Publicis Sapient, and Health & Wellbeing with Publicis Health.
Zenith is one of Publicis Groupe’s media agencies with a network of 250 offices across 74 countries and over 8,000 staff worldwide.
About the Role
Zenith Media are looking for a highly skilled Analytics Engineer, with Looker Dashboard development expertise, to join a client team working on the delivery of a paid media reporting dashboard for a high-profile fashion retail brand. In this role, you will be responsible for the collection, storage, transformation & dashboard visualisation of digital paid media data, working closely with our data engineers, analysts, and media planning teams to transform data into actionable insights.
The ideal candidate will have hands-on experience with Funnel.io & Looker, specifically in transforming data, parsing taxonomy values, building schemas & impactful dashboards.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines for digital paid media data.
- Utilise Funnel.io to transform data, parse values, and structure schemas for analytics and reporting.
- Work closely with media, analytics, and BI teams to ensure data integrity and accessibility.
- Optimise data storage and retrieval processes to support dashboarding and reporting solutions.
- Ensure seamless integration of digital media platforms (Google Analytics 4, Google Ads, Meta, TikTok, DV360, etc.) into a unified data architecture.
- Develop and maintain ETL/ELT workflows to streamline data ingestion, transformation, and distribution.
- Design and develop Looker Studio dashboards to visualise media investment, campaign performance, and marketing KPIs.
- Implement effective storytelling through data, ensuring dashboards are intuitive and aligned with business needs.
- Implement data quality checks, validation, and governance to ensure accuracy and reliability.
IR35 may apply to this booking.
Please send your CV to chanelle.hall@publicisgroupe.com outlining your experience.
Freelance Analytics Engineer employer: Zenith
Contact Detail:
Zenith Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Analytics Engineer
✨Tip Number 1
Familiarise yourself with Looker and Funnel.io, as these are crucial tools for the role. Consider taking online courses or tutorials to enhance your skills in dashboard development and data transformation.
✨Tip Number 2
Network with professionals in the analytics field, especially those who work with media agencies. Attend industry events or join relevant online communities to connect with potential colleagues and learn about the latest trends.
✨Tip Number 3
Showcase your previous projects that involved data visualisation and dashboard creation. Prepare a portfolio that highlights your ability to turn complex data into actionable insights, which is key for this position.
✨Tip Number 4
Research Zenith Media and Publicis Groupe to understand their values and recent projects. Tailoring your approach to align with their mission can help you stand out during interviews and discussions.
We think you need these skills to ace Freelance Analytics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Freelance Analytics Engineer position. Understand the key responsibilities and required skills, especially focusing on Looker Dashboard development and experience with Funnel.io.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, dashboard development, and any specific tools mentioned in the job description, such as Looker and Funnel.io. Use keywords from the job listing to ensure your CV aligns with what they are looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the fashion retail industry. Mention specific projects or experiences that demonstrate your ability to design and develop dashboards and data pipelines.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for an Analytics Engineer role.
How to prepare for a job interview at Zenith
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Looker and Funnel.io. Highlight specific projects where you've developed dashboards or transformed data, as this will demonstrate your technical expertise and relevance to the role.
✨Understand the Business Context
Research Zenith and Publicis Groupe to understand their business model and the importance of data in their operations. Being able to relate your skills to their specific needs will show that you're not just technically proficient but also aligned with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data analytics and dashboard development. Practise articulating your thought process and how you would approach challenges, as this will showcase your analytical thinking and problem-solving abilities.
✨Demonstrate Effective Communication
Since you'll be working closely with various teams, it's crucial to convey complex data insights in an understandable way. Prepare examples of how you've successfully communicated data findings to non-technical stakeholders in the past.
