Head, Research and Intelligence
- Nigeria
- Permanent
- Full-time
- Develop and implement the firm’s research and intelligence strategy, ensuring alignment with business objectives and market trends.
- Conduct in-depth research on market trends, competitive intelligence, industry benchmarking, and client-specific research.
- Utilise advanced statistical methods, data analytics, and visualisation tools to derive actionable insights.
- Develop and implement innovative research methodologies and best practices to enhance decision-making
- Personally oversee and contribute to key research projects to ensure high-quality deliverables.
- Develop and implement processes for gathering, analysing, and disseminating competitive intelligence.
- Utilise open-source intelligence (OSINT) techniques, data subscriptions, and social media monitoring tools.
- Monitor industry trends, emerging technologies, and competitor activities, providing timely intelligence briefings to senior management and client teams.
- Provide research and intelligence support to client engagement teams, contributing to proposals, presentations, and project delivery.
- Support business development by identifying market opportunities and contributing to compelling value propositions.
- Publish research papers, contribute to industry discussions, and position the firm as a thought leader in business consulting.
- Drive innovation within the research function, incorporating AI-powered tools and advanced analytics techniques.
- Develop and manage the research and intelligence budget, ensuring cost-effectiveness and efficient resource allocation.
- Master’s degree in Business Administration, Economics, Market Research, Data Science, or a related field preferred.
- Minimum of 6 years of progressive, hands-on experience in research and intelligence within a business consulting firm.
- Deep expertise in quantitative and qualitative research methodologies.
- Proficiency in statistical analysis software (e.g., R, SPSS, SAS) and data visualisation tools (e.g., Tableau, Power BI).
- Experience with data mining, machine learning, and natural language processing (NLP) is a strong advantage.
- Strong data interpretation, forecasting, and predictive modelling capabilities.
- Strong analytical and problem-solving skills, with the ability to synthesise complex information and provide actionable insights.
- Exceptional communication and presentation skills, both written and verbal.
- Strong leadership and stakeholder management skills.
- Excellent project management skills, with attention to detail and quality.