PPC & Trade Performance Associate

PPC & Trade Performance Associate

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Lucky Egg

At a Glance

  • Tasks: Drive PPC performance and enhance SKU-level strategies through innovative experimentation.
  • Company: Lucky Egg, a dynamic company based in London with a focus on growth.
  • Benefits: Competitive salary, 25 days holiday, and fun team socials.
  • Other info: Exciting opportunities for personal and professional growth in a collaborative environment.
  • Why this job: Join a vibrant team and make a real impact on performance marketing.
  • Qualifications: Strong Amazon PPC skills and a data-driven mindset are essential.

The predicted salary is between 30000 - 40000 £ per year.

Lucky Egg is seeking a PPC & Trade Associate to drive performance in their London office. This role combines PPC management with SKU-level performance enhancement through strategic experimentation across various platforms.

The ideal candidate will possess strong Amazon PPC skills, a data-driven mindset, and the ability to communicate effectively with the team.

Benefits include:

  • Competitive salary
  • 25 days of holiday
  • Regular team socials

PPC & Trade Performance Associate employer: Lucky Egg

Lucky Egg is an excellent employer that fosters a dynamic and collaborative work culture in the heart of London. With a focus on employee growth, we offer competitive salaries, 25 days of holiday, and regular team socials to ensure a balanced work-life experience. Join us to be part of a forward-thinking team where your skills in PPC management will be valued and developed through strategic experimentation and innovation.

Lucky Egg

Contact Details:

Lucky Egg Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PPC & Trade Performance Associate

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Apply Directly through Our Website

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We think you need these skills to ace PPC & Trade Performance Associate

PPC Management
Amazon PPC Skills
Data-Driven Mindset
Strategic Experimentation
Communication Skills
Performance Enhancement
Analytical Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Lucky Egg, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lucky Egg. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Lucky Egg

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lucky Egg!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.