At a Glance
- Tasks: Own and improve data infrastructure, build dashboards, and provide insights for marketing campaigns.
- Company: Fast-growing London marketing agency working with major global brands.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a high-performing team in a rapidly expanding agency.
- Why this job: Make a real impact on client decisions and campaign performance in a dynamic environment.
- Qualifications: Strong BI, data analysis skills, and experience with SQL and Google BigQuery.
The predicted salary is between 45000 - 50000 € per year.
We’re hiring for a fast-growing London marketing and media agency of 85+ people, working with major global brands and competing successfully against much larger networks.
What we’re looking for:
- Strong hands-on BI, data analysis or data engineering experience
- Advanced SQL and Google BigQuery skills, including query optimisation
- Experience building dashboards and reporting solutions in Data Studio and/or Tableau
- Good knowledge of marketing and advertising data, including paid search, paid social, programmatic, web analytics or CRM
- Someone who can understand what teams need to know and build the reporting, insight and recommendations to support better decisions
- Confidence working with non-technical stakeholders across account, media and strategy teams
This is a hands-on role owning and improving an established marketing data stack, with a focus on BigQuery and Data Studio.
What you’ll be doing:
- Building, improving and monitoring SQL-based data pipelines in BigQuery
- Bringing together data from platforms such as Google Ads, Meta, DV360, Siebel, GA4 and other marketing sources
- Creating practical data models that make reporting easier, faster and more consistent
- Building dashboards and reports for campaign performance, client reporting and internal KPIs
- Creating reusable reporting templates, standardised views and data products
- Producing insight around attribution, funnels, cohorts, budget pacing and forecasting
- Helping account, media and strategy teams spot trends, risks and opportunities
- Working with Data and Ad Ops teams to support accurate data collection, tagging and integration
- Improving data quality, documentation, reporting standards and governance
Experience with Python, APIs, Supermetrics, custom scripts, connectors or ETL tools would be a bonus, but isn’t essential.
Why join?
- Real ownership of an established data infrastructure
- Visible impact on campaign performance and client decision-making
- A growing agency that has doubled in size over the past three years
- A high-performing, streamlined culture with direct communication and strong leadership
BI & Data Solutions Manager in London employer: Direct Recruitment
Join a dynamic and fast-growing marketing and media agency in London, where you will have real ownership of an established data infrastructure and the opportunity to make a visible impact on campaign performance. With a high-performing culture that values direct communication and strong leadership, this role offers excellent growth opportunities as the agency continues to expand, having doubled in size over the past three years. Enjoy a hybrid work model that promotes work-life balance while collaborating with major global brands.
StudySmarter Expert Advice🤫
We think this is how you could land BI & Data Solutions Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that BI & Data Solutions Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL, dashboards, and data models. We want to see how you’ve tackled real-world problems and made data-driven decisions that led to success.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of marketing data and be ready to discuss how you can improve reporting and insights. We love candidates who can confidently communicate with both technical and non-technical teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who are eager to make an impact in our growing agency.
We think you need these skills to ace BI & Data Solutions Manager in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your hands-on BI, data analysis, and SQL experience, as well as any relevant tools like Data Studio or Tableau.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've built dashboards or improved data pipelines, and show us your understanding of marketing data.
Showcase Your Problem-Solving Skills:In your application, give us a glimpse of how you approach challenges. Describe a situation where you helped non-technical stakeholders make better decisions through data insights—this is key for us!
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 Direct Recruitment
✨Know Your Data Inside Out
Make sure you brush up on your BI and data analysis skills before the interview. Be ready to discuss your hands-on experience with SQL, Google BigQuery, and any dashboards you've built in Data Studio or Tableau. The more specific examples you can provide, the better!
✨Understand the Marketing Landscape
Familiarise yourself with marketing and advertising data, especially around paid search, social media, and web analytics. Being able to speak confidently about how these elements tie into data reporting will show that you understand the bigger picture and can support decision-making effectively.
✨Prepare for Non-Technical Conversations
Since you'll be working with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think about how you can convey insights and recommendations clearly, so everyone understands the value of your work without getting lost in jargon.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled challenges in previous roles, particularly around data quality and reporting standards. Highlight any instances where you've improved processes or created reusable templates, as this will demonstrate your proactive approach and ability to make a real impact.
