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

View Open Roles

Senior Business Intelligence & Analytics Manager

Pontoon
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Business Intelligence Analyst - Product and Supplier Management

Senior Business Intelligence Analyst - Product and Supplier Management

Senior Data & Business Intelligence Manager - Fully Remote

Senior Product Business Intelligence Analyst (UK Remote)

Senior Marketing Manager, Business Intelligence

Senior Data Scientist

Senior Business Intelligence & Analytics Manager - Marketing

London or Leeds Hybrid Working (2 days on-site)
12-Month Contract
Excellent Day Rate (via umbrella)

Join a leading financial services organisation on a major data transformation journey. They're reshaping how marketing decisions are made - investing in modern BI platforms, real-time analytics, and innovative data solutions to power smarter, faster, and more customer-centric marketing.

This role is a rare opportunity to lead the evolution of enterprise-level marketing intelligence. As Senior Business Intelligence & Analytics Manager, you'll drive strategy, build high-impact BI solutions, and lead a team of experts to deliver truly insightful, self-serve analytics across the full marketing ecosystem - from digital and CRM to brand and ATL.

About the Role

You will:

  • Define and deliver a forward-looking BI strategy aligned with marketing and business priorities
  • Lead the development of interactive dashboards and self-serve reporting tools using Power BI and Tableau
  • Integrate data from Adobe, Google, CRM, and media agencies to deliver unified and actionable insights
  • Embed generative BI tools and real-time metrics to support proactive decision-making
  • Act as a strategic partner across marketing, tech, and data teams - aligning roadmaps, tools, and priorities
  • Manage and mentor a skilled BI team, championing a culture of innovation and continuous learning
  • Apply best-practice data governance, ensuring data quality, accuracy, and compliance



What You'll Bring

  • Advanced experience in business intelligence within a marketing, media, or customer analytics setting
  • Proven expertise with Power BI, Tableau, or Looker, and data scripting tools like SQL, Python or R
  • Strong domain knowledge of digital performance metrics, CRM data, and lifecycle marketing KPIs (e.g. CLTV, engagement, retention)
  • Understanding of ATL measurement methodologies, including econometrics and brand tracking
  • Hands-on experience with Google Cloud Platform (GCP) and platforms such as Adobe Analytics and GA4
  • Experience leading BI innovation, including generative AI/BI use cases
  • Excellent communication and stakeholder engagement skills - able to influence at all levels
  • A track record of leading high-performing teams and scaling BI capabilities in a complex, fast-paced environment



Why Apply?

This is more than a BI leadership role - it's a chance to drive meaningful change in a forward-thinking business that's placing data at the heart of its marketing strategy. You'll have the tools, support, and autonomy to build next-gen solutions, lead talented professionals, and shape how marketing performance is measured and optimised for years to come.

Candidates will ideally show evidence of the above in their CV to be considered please click the "apply" button.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
#J-18808-Ljbffr

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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

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.