AI-Driven Social Commerce Data Analyst & Prompt Engineer

AI-Driven Social Commerce Data Analyst & Prompt Engineer

Full-Time 40000 - 50000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse data and build AI pipelines to uncover revenue opportunities for clients.
  • Company: Dynamic digital marketing agency based in Greater London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for career advancement.
  • Other info: Exciting environment with potential for growth into senior operations roles.
  • Why this job: Make a real impact on marketing strategies while working with cutting-edge technology.
  • Qualifications: Strong knowledge of paid social platforms, SQL, Python, and data integration experience.

The predicted salary is between 40000 - 50000 £ per year.

A digital marketing agency in Greater London is seeking a data analyst/prompt engineer. The ideal candidate will support account managers with data for client performance and build AI and data pipelines to spot revenue opportunities.

Required skills include:

  • Strong knowledge of paid social platforms
  • Proficiency in SQL and Python
  • Experience with data integration

This role offers an opportunity to impact marketing data strategies and advance into senior operations.

AI-Driven Social Commerce Data Analyst & Prompt Engineer employer: Somerce

Somerce is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about e-commerce and social media. With a focus on employee growth and development, team members enjoy high levels of ownership in their roles and the opportunity for rapid career progression. Located in vibrant cities like London and Manchester, employees benefit from a hybrid work model that promotes work-life balance while engaging with leading brands in the beauty, fashion, and lifestyle sectors.

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Contact Details:

Somerce Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Driven Social Commerce Data Analyst & Prompt Engineer

Tip Number 1

Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by practising common questions related to data analysis and AI. We recommend doing mock interviews with friends or using online platforms to boost your confidence and refine your answers.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI-Driven Social Commerce Data Analyst & Prompt Engineer

Data Analysis
SQL
Python
Data Integration
Knowledge of Paid Social Platforms
AI and Data Pipeline Development
Client Performance Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with paid social platforms, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've used data to drive decisions or uncover opportunities in past roles. We’re looking for candidates who can think critically and creatively about data!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Somerce

Know Your Data Inside Out

Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data integration and analysis. This will show that you’re not just familiar with the tech, but that you can apply it effectively.

Understand the Social Platforms

Since the role focuses on paid social platforms, do your homework on the latest trends and metrics in digital marketing. Be prepared to share insights on how data can drive performance on these platforms, and think of examples where you've successfully leveraged data for marketing strategies.

Showcase Your Problem-Solving Skills

Think of specific instances where you've identified revenue opportunities through data analysis. Prepare to walk the interviewers through your thought process and the steps you took to resolve challenges. This will demonstrate your analytical mindset and ability to impact client performance.

Ask Insightful Questions

Prepare a few thoughtful questions about the company’s approach to AI and data strategies. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation with the interviewers.