Russell Tobin
Business Analyst
London
Posted about 20 hours ago
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Business Analyst – Sales Strategy, Planning & Operations
London, UK – Hybrid | 12-Month Contract | November 2026 Start
Role Details
- Location: London, UK – Hybrid, 3 days per week onsite
- Contract: 12 months, with potential for extension
- Start Date: November 2026
- Level: IC4 equivalent
- Interview Process: 2 rounds
- Experience: 6+ years
- Education: Bachelor's degree minimum, preferably in a quantitative field
About the Role
We are looking for a highly strategic, quantitative, and insight-driven Business Analyst to join a high-performing EMEA Sales Strategy, Planning & Operations team. This role will be responsible for turning complex data into clear strategic recommendations that drive measurable business outcomes. You will act as a trusted and objective partner to sales leadership, identifying trends, opportunities, risks, and market dynamics that influence business decisions.
Key Responsibilities
- Deliver objective, data-driven insights that support critical business decisions and drive measurable business impact.
- Extract, manipulate, and analyse data from large and complex databases using SQL.
- Translate complex datasets and business problems into clear, actionable recommendations.
- Partner closely with Sales leadership and cross-functional stakeholders to identify trends, opportunities, risks, and areas for improvement.
- Provide strategic recommendations that influence business direction, planning, and resource allocation.
- Bring strong knowledge of EMEA market dynamics and regional business realities into broader strategic discussions.
- Represent the regional perspective in global forums and provide data-driven feedback on market trends, opportunities, and business priorities.
- Develop compelling narratives and presentations that communicate key insights, opportunities, risks, and recommendations to senior stakeholders.
- Drive alignment between regional and global teams, ensuring strategic initiatives are grounded in practical execution requirements.
- Adapt priorities effectively in a fast-paced environment while clearly communicating trade-offs and business implications.
- Identify opportunities to automate analytical and operational workflows using AI and emerging technologies.
- Leverage AI tools to improve efficiency, scalability, quality, and accuracy of analytical workflows.
- Collaborate across teams to solve complex commercial, operational, and organisational problems.
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Required Skills & Experience
- 6+ years of experience in strategy and operations, business analytics, consulting, corporate strategy, investment banking, private equity/venture capital, technology, or a similar quantitative environment.
- Strong proficiency in SQL, including experience extracting and manipulating data from large and complex databases.
- Proven experience using data to understand business problems and develop actionable insights and recommendations.
- Strong analytical and problem-solving skills, with the ability to tackle complex and varied business challenges.
- Demonstrated ability to communicate with and influence stakeholders at all levels of an organisation.
- Strong stakeholder management and cross-functional collaboration skills.
- Experience working in dynamic environments where priorities change and trade-offs need to be communicated effectively.
- Strong systems-thinking mindset and experience improving or automating workflows.
- Practical experience leveraging AI tools to improve business or analytical processes.
- Excellent written and verbal communication skills, with the ability to turn complex analysis into compelling business narratives.
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Good to Have
- Experience in technology, advertising, media, or digital industries.
- Previous experience supporting EMEA markets and understanding regional business dynamics.
- Experience with data visualisation tools such as Tableau or Looker.
- Experience building or deploying AI-powered automation solutions.
- Knowledge of responsible and ethical AI practices, including risk assessment, bias mitigation, quality control, and accuracy reviews.
- Experience using AI for workflow redesign, automation, and analytical efficiency improvements.
- Familiarity with advertising products, sales organisations, or digital advertising ecosystems.
- Experience with prompt engineering, context engineering, agent orchestration, or other emerging AI capabilities.
- MBA or an advanced degree in a quantitative discipline.
- Experience within organisations such as major technology companies or leading strategy/consulting firms.
Ideal Candidate Background
Candidates may come from backgrounds such as:
- Strategy & Operations
- Business Analytics
- Management Consulting
- Corporate Strategy
- Investment Banking / Private Equity / Venture Capital
- Technology
- Sales Strategy & Operations
- Data-driven Business Transformation
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