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

View Open Roles

Lead Business and Data Analyst

FS1 Recruitment
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Analytics Squad Lead: Business Intelligence

Data Lead / Business Intelligence & Insights Manager / Data Engineer

Data Analytics Squad Lead: Business Intelligence

Data Analyst and Test Engineer

Data Analyst and Test Engineer

Data Analyst

Remote working.

Our global client is currently seeking a Lead Business and Data Analyst to join their UK team on a permanent basis. The Lead Business and Data Analyst will be required to oversee a team of specialists, ensuring the seamless execution of data projects and the development of best practices.

Key Responsibilities:

  • Work within an open atmosphere with frequent collaboration between team members.

  • Supervise a team of business and data specialists focused on a specific vertical.

  • Participate in the planning process and allocation of team members to projects.

  • Develop and manage best practices, checklists, KPIs, and procedures for the development team.

  • Mentor and lead new business and data specialists.

    Key Skills and Experience:

  • Proven experience in supervising a team of business and data specialists.

  • Expertise in database structure and content workflow in multiple products.

  • Proficient in Excel, Google Sheets, and SQL databases.

  • Ability to manage multiple data projects simultaneously.

  • Strong communication skills to coordinate with project managers and content management teams.

    Company Benefits:

  • Competitive salary package.

  • Opportunities for professional development and career progression.

  • Collaborative and innovative work environment.

  • Remote working

    FS1 Recruitment is a UK-based recruitment agency providing solutions within the Marketing, Creative, Commercial fields for permanent, freelance and contract positions. Please contact us to discuss one of our many positions

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.

Jobs

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.

Jobs

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.

Careers

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.