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Lead Data Analyst - Commercial Finance - London
London, England, United Kingdom | Marketing and Advertising | Full-time
Description
***LoopMe is one of Campaign's Best Places to Work 2023 & 2024!***
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 Bank Holidays
- 1 month work-from-anywhere
- Health Shield, a cash-back health plan for things like dental, optical, physio and well being
- Access to Thrive; accessible mental health support all in one app
- LoopMe Gives Back; we have a committed and active CSR team who organise regular events to hold up our pillars of Learning, Charity, Wellbeing, Responsibility and Sustainability
- We’ll set you up for success, providing training and career development
Want to learn more about us?
Head to our Careers page to see why we've been voted one of Campaign's Best Places to Work 2023! You can find out more about our values, initiatives, teams and benefitshere .(Can't see the hyperlink? Find us herehttps://loopme.com/contact/careers/ )
To all recruitment agencies: LoopMe does not accept agency resumes. Please do not forward resumes to our jobs career page, LoopMe employees or any other company location. LoopMe is not responsible for any fees related to unsolicited resumes.
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