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MCI in Portugal is seeking a data-driven researcher to lead quantitative market research projects, identify sources, aggregate findings, and deliver insights using AI-enabled tools. You will own selected strategic research initiatives, define scope, and manage timelines with stakeholders.
The role focuses on market sizing, landscaping, commercial analytics, and model testing, with an emphasis on automating workflows, data preparation, and building AI-enhanced dashboards to communicate results to
Descrição do cargo Conducts market research, including identification of relevant sources of information, aggregation/synthesis of findings, and delivery, applying AI-enabled tools to accelerate insight generation, and takes ownership of selected strategic research projects Drives the end-to-end delivery of high-quality projects, agreeing scope and timelines with stakeholders Design and deliver quantitative research solutions, including market sizing, market landscaping, and commercial analytics, to support Whitespace Identification Industry prioritisation Market assessment Market share and share ‑ of ‑ wallet analysis Define, test, and refine model parameters, assumptions, and scenarios to ensure analytical robustness.
Champions the adoption of AI and advanced analytics techniques within MCI, identifying opportunities to automate research workflows and enhance the speed and quality of insight generation. Leads the sourcing and integration of multiple internal and external data sets, including emerging AI-driven data sources, to support quantitative insight. Perform data preparation, validation, and quality control to ensure accuracy, integrity, and transparency of outputs.
Drives more systematic and scalable approaches to combining internal and external data across MCI projects, including identifying opportunities for AI and automation to improve efficiency. Translate complex analysis into clear, narrative ‑ based insights and recommendations for business stakeholders. Develop reports, presentations, and visual outputs — including AI-enhanced dashboards and tools — that communicate insight effectively Balance detailed analytical work with big ‑ picture interpretation and commercial implications.
Strong analytical mindset with a proven track record of turning data into clear, actionable insight. Demonstrated experience in quantitative research, market sizing, market landscaping, workflow analysis, or pricing analysis, with a track record of driving projects with minimal oversight. Advanced Excel skills, including complex formulas, data modelling, and scenario analysis as standard practice. Experience building or working with Power BI dashboards or similar business intelligence tools.
Experience with a wide range of research tools, techniques, and sources Foundational knowledge of the elements of business and market strategy, and the ability to apply to market and company research to generate insights and recommendations Exceptional written and oral communication skills, with a demonstrated ability to work with stakeholders, collaborate with colleagues, and fulfil business needs Strong project management skills and ability to manage multiple projects simultaneously, setting clear milestones and meeting deadlines High level of attention to detail and focus on accuracy Self-starter capable of proactive investigation and analysis Team player capable of working in the best interests of the firm Strong attention to detail, with a clear focus on data quality and analytical integrity.
Excellent written and verbal communication skills, with the ability to engage and influence stakeholders at all levels. Proficiency in Python and/or SQL, with experience applying AI/machine learning techniques to research automation and analytics. Practical experience applying AI, GenAI, or automation tools (e.G. Python, SQL, Copilot/GenAI platforms) to enhance research efficiency, data processing, or insight generation. Experience working in market insight, market intelligence, strategy, research, or competitive analysis roles. Knowledge of financial services, investments, pensions, or regulated environments.