Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support data operations and ensure accurate, timely data flow for influencer campaigns.
- Company: Join Goat Agency, a leader in influencer marketing with a vibrant team culture.
- Benefits: Enjoy flexible hours, health perks, and 25+ days holiday plus more!
- Why this job: Make an impact in a dynamic environment while working with cutting-edge data tools.
- Qualifications: Experience in data operations and strong attention to detail required.
- Other info: Collaborate with a global team and enjoy excellent career growth opportunities.
The predicted salary is between 37000 - 42000 £ per year.
Location: London (Southbank)
Working model: Hybrid
Salary: £37,000.00 - £42,000.00
About The Goat Agency: Goat is part of WPP Media, the world’s leading media investment company. Since 2015, we have been pioneers in influencer marketing, helping brands leverage the power of social to achieve real, measurable results. Today, we stand as the global leader in the space, delivering award-winning campaigns across 70+ countries.
As part of our team, you will collaborate with 500+ social natives worldwide, driving cutting-edge influencer campaigns for some of the most exciting brands. Whether it’s short-term activations or long-term ambassador programs, we treat influencer marketing as a full-funnel channel that drives awareness, engagement, and conversions.
Our data-driven approach is built on insights from tracking over 100,000 influencers and campaign performance. We combine this with expert relationship management, social-first creative strategy, paid media, and advanced tracking, measurement, and optimisation to deliver results that matter.
About The Opportunity: We are looking for a capable Senior Data Executive to support the day-to-day running of our data operations function within the central Data & Tech team. This is a hands-on role focused on keeping our data ecosystem accurate, timely, and reliable, supporting the flow of campaign and performance data into our proprietary platform (IBEX) and onward into reporting. This role suits someone with strong attention to detail, confidence working with data tooling, and an interest in automation and continuous improvement.
Key Responsibilities:
- Data Operations & Quality: Support the end-to-end flow of data into IBEX, from campaign setup checks through to final data ingestion. Run regular QA to ensure data completeness, consistency, and accuracy; flag issues early and help resolve them. Maintain documentation of workflows, checks, and recurring issues to improve repeatability and reduce errors.
- Process Improvement & Automation: Identify inefficiencies or recurring issues in data workflows and propose practical fixes. Build or adapt automations (e.g. templates, validations, basic scripts) under guidance from the Data Manager. Follow and help reinforce agreed data governance and reporting processes.
- Reporting & BI Support: Support the creation and maintenance of dashboards and reports in the BI tool (e.g., Metabase/Tableau). Write and adjust queries (where applicable) to answer common business questions and improve reporting reliability. Assist with scheduled reporting outputs and stakeholder requests, ensuring outputs are accurate and on time.
- Collaboration & Stakeholder Support: Act as a reliable point of contact for day-to-day data operations questions from internal teams. Work with client teams and internal stakeholders to gather requirements, clarify inputs, and resolve data issues. Escalate risks/blockers promptly with clear context and suggested next steps.
Role Requirements:
- Experience in a data operations, reporting, or data management role (agency or similar environment preferred).
- Strong understanding of data quality concepts (validation, reconciliation, governance basics).
- Experience working with BI tools (e.g., Metabase, Tableau, Looker) and building/maintaining dashboards.
- Comfortable working with spreadsheets at an advanced level (Google Sheets/Excel).
- Experience with automation or scripting (e.g. Google Apps Script).
- Clear communicator with strong attention to detail and a proactive, problem-solving mindset.
- Able to manage multiple tasks, follow processes, and deliver reliably to deadlines.
Company Culture and Benefits:
- Regular social events and ongoing clubs.
- Provided MacBook laptop to work from.
- Flexi-hours.
- Remote/Hybrid Working.
- Health and wellbeing allowance once you’ve passed probation.
- Health Insurance after you’ve passed probation.
- Life Insurance Policy.
- 25 Days Holiday plus bank holidays, accruing up to 30 days based on length of service.
- Birthday & Work Anniversary Days Off.
- Length of Service Gifts.
- In-Office Benefits such as beauty treatments & yoga.
- Flexible Bank Holidays.
- Volunteering Days.
- Free Flu Jabs.
- Plus many more!
Senior Data Executive in London employer: The Goat Agency
Contact Detail:
The Goat Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Executive in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at The Goat Agency. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got experience with data tools or BI software, make sure to highlight that in conversations. Share examples of how you’ve improved data processes in the past.
✨Tip Number 3
Be proactive! If you see a job opening on our website, don’t just apply—follow up with a message expressing your enthusiasm. It shows initiative and can help you stand out.
✨Tip Number 4
Prepare for interviews by brushing up on common data operations questions. Think about how you’d tackle issues related to data quality and automation, as these are key for the Senior Data Executive role.
We think you need these skills to ace Senior Data Executive in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Executive role. Highlight relevant experience in data operations and any specific tools you've used, like BI tools or automation scripts. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Attention to Detail: Since this role requires a strong attention to detail, make sure your application is free from typos and errors. We appreciate candidates who take the time to double-check their work, so let that shine through in your application!
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’re considered for the role. Plus, it shows you’re keen on joining our team at Goat!
How to prepare for a job interview at The Goat Agency
✨Know Your Data Inside Out
Make sure you brush up on your data operations knowledge. Familiarise yourself with data quality concepts and the tools mentioned in the job description, like Metabase or Tableau. Being able to discuss how you've ensured data accuracy in past roles will show you're the right fit.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified inefficiencies in data workflows and implemented solutions. This role is all about continuous improvement, so demonstrating a proactive approach to problem-solving will impress the interviewers.
✨Communicate Clearly and Confidently
As a Senior Data Executive, you'll need to be a reliable point of contact for internal teams. Practice articulating your thoughts clearly and concisely, especially when discussing complex data issues. Good communication can set you apart from other candidates.
✨Be Ready to Discuss Automation
Since the role involves building or adapting automations, be prepared to talk about any experience you have with scripting or automation tools. If you’ve worked with Google Apps Script or similar, share specific examples of how you’ve used them to streamline processes.