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- Tasks: Transform complex data into actionable insights and compelling narratives for strategic decision-making.
- Company: Join LoopMe, a top-rated workplace revolutionising brand advertising with innovative technology.
- Benefits: Enjoy hybrid working, 25 days annual leave, and a competitive salary.
- Why this job: Make a real impact in the ad tech industry while developing your analytical skills.
- Qualifications: Experience with large datasets, SQL proficiency, and familiarity with BI tools required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
LoopMe is one of Campaign's Best Places to Work. Our vision is to change advertising for the better, by building technology that will redefine brand advertising. LoopMe powers programmatic advertising, improves media delivery, develops bespoke audience curation and effective real-time measurement through our outcomes platform. By putting consumers at the heart of every campaign, the world's leading brands, agencies, media publishers and programmatic platforms rely on us to reach their goals effectively and more efficiently.
About LoopMe: Our vision is to change advertising for the better. LoopMe's technology brings together advertisers and publishers to redefine brand advertising for the digital and mobile app ecosystem. With a diverse client base, including leading brands, agencies and publishers, LoopMe finds solutions to industry challenges. The acquisition of Chartboost supercharges LoopMe's mission, creating a globally scaled 1st party ad-tech platform built on patented AI.
What we need: We're looking for a hands-on Lead Data Analyst who can sit at the intersection of data science, business and finance to turn high-volume data into clear commercial insight. You will play a pivotal role in turning vast and complex datasets into actionable intelligence, leveraging business intelligence tools and advanced analytics to inform strategic decision-making. Working closely with Finance leadership, Data Science, and cross-functional stakeholders, you'll build compelling dashboards, uncover financial trends, and support our AI-driven business models. This is a high-impact role for someone who thrives on solving complex problems at scale, and enjoys translating data into narratives that drive business outcomes.
As our Lead Data Analyst you will be:
- Designing, building, and maintaining dashboards, reports, and visualisations in Looker, Tableau, and Rill to support strategic finance and commercial objectives, ensuring there is adoption of key self-service reporting across the organisation.
- Partnering with Data Science and Engineering teams to ensure consistent access to clean, structured, and scalable data; scoping and conducting A/B and multivariate tests and deliver statistically sound read-outs.
- Analysing large and complex global datasets, identifying trends, anomalies, and opportunities across financial and operational domains.
- Supporting the Finance team in forecasting, scenario modelling, and business case analysis with data-backed insights.
- Leading cross-functional analytics projects across markets, products, and business models, ensuring high analytical standards and storytelling.
- Using enablement & storytelling to distill complex findings into compelling narratives, slides and visualisations that influence senior leadership decisions.
- Promoting data partnerships that support the translation and understanding of results between Engineering, Data Science and non-technical stakeholders; document requirements, QA new data pipelines, and champion data governance.
You will have:
- Experience in an analytical role working with large, granular datasets.
- Fluency in SQL for data extraction & transformation plus working knowledge of Python or R for statistical analysis are beneficial.
- Advanced experience of at least one major BI platform (Tableau, Looker, Power BI, Rill, etc.) with a portfolio of interactive dashboards.
- A proven track record running or evaluating experiments A/B tests (power analysis, lift vs. confidence, segmentation).
- Domain exposure to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred.
- Comfort with high-velocity event streams and real-time metrics.
- Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls).
- Ability to translate data into plain-English insights and present to C-level audiences.
- Experience working in cloud data warehouses (Snowflake, BigQuery, Redshift) and version control (Git).
What we can offer: Bonus Hybrid working; meaning you'll be in our Farringdon office Tuesdays to Thursdays. 25 days annual leave, plus the
Lead Data Analyst in England employer: LoopMe
Contact Detail:
LoopMe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real examples from your past work to demonstrate how you’ve turned data into actionable insights.
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. It shows initiative and gives you a better chance of standing out!
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple gesture that keeps you fresh in the interviewer’s mind and shows your enthusiasm for the role.
We think you need these skills to ace Lead Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Analyst role. Highlight your experience with large datasets, BI tools, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for LoopMe. Share your passion for data analysis and how it aligns with our mission to change advertising for the better. Keep it engaging and personal!
Showcase Your Skills: Don’t forget to mention your technical skills, especially in SQL, Python, or R. If you've built dashboards or conducted A/B tests, let us know! We love seeing real examples of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at LoopMe!
How to prepare for a job interview at LoopMe
✨Know Your Data Tools
Make sure you’re well-versed in the BI tools mentioned in the job description, like Tableau and Looker. Prepare to discuss specific dashboards you've built or insights you've derived from data, as this will show your hands-on experience.
✨Brush Up on SQL and Python
Since fluency in SQL is a must, practice writing queries that extract and transform data. If you have experience with Python or R, be ready to share examples of how you've used these languages for statistical analysis or A/B testing.
✨Understand the Ad Tech Landscape
Familiarise yourself with the basics of programmatic advertising and the role of DSPs and SSPs. Being able to speak knowledgeably about the industry will demonstrate your genuine interest and help you connect with the interviewers.
✨Prepare Your Storytelling Skills
You’ll need to translate complex data into compelling narratives. Think of examples where you’ve successfully communicated insights to non-technical stakeholders, and be ready to showcase your ability to influence decisions through storytelling.
