At a Glance
- Tasks: Analyse data and optimise social media strategies for top brands.
- Company: Somerce, a leading TikTok Shop specialist agency.
- Benefits: Competitive pay, growth opportunities, and a chance to shape the future of marketing.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a cutting-edge team and make an impact in social commerce and AI.
- Qualifications: Experience with paid social platforms and proficiency in SQL and Python.
The predicted salary is between 35000 - 45000 € per year.
About the Role
Somerce is a TikTok Shop specialist agency focused on driving GMV growth for brands. We work with some of the fastest-growing beauty, fashion, lifestyle and FMCG brands in the UK, US and EU, managing everything from live commerce and affiliates to paid media and trading strategy. We have a unique role for a data analyst / prompt engineer to work at the cutting edge of social commerce and AI, who will suit a self-starter keen to leave their mark in data and marketing.
Reporting to: Director of Performance
Key Responsibilities
- Support account managers to ensure they have relevant data for client performance
- Optimise and automate analysis processes to maximise return for client and identify gaps in performance for account managers
- Provide data transparency through reports from senior to junior staff, and clients
- Evangelise data storytelling
- AI and Revenue Generation
- Build an AI and data pipeline that enables the team to spot revenue and cost opportunities
- Build opportunities into plans for clients and present ideas back to clients
- Explore and implement AI agent solutions to improve efficiency in reporting, research, and campaign management
- Support data integrity across platforms, ensuring consistency and accuracy
- Ensure data security is a top priority for all clients
Skills & Experience
- Strong knowledge of paid social platforms (Meta, TikTok, Google Ads)
- Proficiency in SQL and Python for data analysis and automation
- Experience with APIs and data integration
- Strong Excel/Google Sheets skills
- Understanding and demonstrated usage of AI LLM and agent frameworks is required
- Experience or knowledge of building or deploying AI agents for automation, data analysis, or research tasks
- Ability to understand marketing data and translate into actionable recommendations
- Experience in building data pipelines
- Experience in an agency setting is a plus
Personal Attributes
- Analytical thinker with attention to detail
- Problem-solver with a focus on efficiency
- Curious about AI applications in marketing and operations
- Comfortable working independently and with cross-functional teams
- Excellent written and verbal communication skills
- Self-starter
What We Offer
- Exposure to both marketing and technical problem-solving
- Opportunity to shape how the agency works at scale
- Growth path into senior operations
Paid Social and AI data analyst employer: Somerce®
Somerce is an exceptional employer for those looking to thrive in the dynamic world of social commerce and AI. With a strong focus on employee growth, we offer unique opportunities to shape marketing strategies while working with leading brands across the UK, US, and EU. Our collaborative work culture encourages innovation and problem-solving, ensuring that every team member can make a meaningful impact in their role.
StudySmarter Expert Advice🤫
We think this is how you could land Paid Social and AI data analyst
✨Tip Number 1
Network like a pro! Connect with people in the industry on LinkedIn, attend relevant events, and don’t be shy to reach out to current employees at Somerce. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data analysis and AI capabilities. This is your chance to demonstrate how you can optimise processes and drive results, just like we do at StudySmarter.
✨Tip Number 3
Prepare for the interview by understanding the latest trends in social commerce and AI. Be ready to discuss how you can contribute to client performance and revenue generation. We love seeing candidates who are passionate and informed!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and making an impact in the world of data and marketing.
We think you need these skills to ace Paid Social and AI data analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of a Paid Social and AI Data Analyst. Highlight your experience with paid social platforms, SQL, and Python, and don’t forget to mention any relevant projects that showcase your analytical skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data and AI in marketing. Share specific examples of how you've used data to drive results and how you can contribute to our team at Somerce.
Showcase Your Analytical Skills:In your application, demonstrate your analytical thinking and problem-solving abilities. We want to see how you approach data challenges and what tools you use to optimise processes. Be specific about your experiences!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Somerce®
✨Know Your Platforms
Make sure you brush up on your knowledge of paid social platforms like Meta, TikTok, and Google Ads. Be ready to discuss how you've used these platforms in the past and how they can drive GMV growth for brands.
✨Show Off Your Data Skills
Prepare to demonstrate your proficiency in SQL and Python. Have examples ready that showcase how you've automated analysis processes or built data pipelines. This will show that you're not just a numbers person but also a problem-solver.
✨Emphasise AI Knowledge
Since this role involves AI applications, be prepared to talk about your experience with AI LLM and agent frameworks. Share any projects where you've implemented AI solutions to improve efficiency or reporting.
✨Communicate Clearly
As you'll need to provide data transparency and storytelling, practice explaining complex data insights in simple terms. Think about how you can convey your findings to both technical and non-technical audiences effectively.
