Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lead Data Analyst - Commercial Finance

Loopme
London
1 week ago
Create job alert

By submitting this form you are consenting to receive communications from LoopMe. Please tick the box below to confirm that you understand this.

I agree to receive communications from LoopMe

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Lead Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.