Market Insights & AI Manager at WTW

WTW; Lisboa; Sur place; EUR 60 000 - 85 000; Plein temps

Avantages offerts par ce poste

On-site Lisboa office

Résumé du poste

WTW in Lisboa is seeking a data-driven research professional for an on-site, full-time role focused on market insights, quantitative research, and AI-enabled analytics. You will lead end-to-end projects, driving scope with stakeholders and delivering quantitative solutions including market sizing and analytics.

Proficiency in Excel, Power BI, Python/SQL is valued, with a strong emphasis on data quality, effective communication, and turning data into actionable business recommendations for senior

Qualifications

• Strong analytical mindset with a proven track record of turning data into clear, actionable insight.
• Experience in quantitative research, market sizing, market landscaping, 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.

Responsabilités

• Lead end-to-end delivery of projects, agreeing scope and timelines with stakeholders.
• Design and deliver quantitative research solutions, including market sizing and analytics, to support prospect evaluation.
• Whitespace identification, industry prioritisation, and market assessments to guide strategy.
• Define, test, and refine model parameters, assumptions, and scenarios for analytical robustness.
• Advocate AI and advanced analytics to automate research workflows and improve speed and quality of insight generation.
• Sourcing and integration of internal and external data sets; ensure data quality and transparency of outputs.
• Translate complex analyses into clear, narrative-based insights and recommendations for business stakeholders; develop AI-enhanced dashboards and reports.
• Collaborate with cross-functional teams to ensure timely delivery and impact of insights.

Connaissances

Analytical mindset

Quantitative research

Advanced Excel

Power BI

Data sourcing & integration

Stakeholder communication

Project management

Attention to detail

Python/SQL

Outils

Power BI

Python

SQL

Description du poste

This Full time on site position offers great opportunities for career growth.

Location: Lisboa, P11, PT.

Key responsibilities

• Insight delivery: 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 Prospect evaluation
• 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
• Data sourcing, integration & quality: Leads the sourcing and integration of multiple internal and external data sets, including emerging AI-driven data sources, to support quantitative insight; performs 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
• Insight generation & communication: 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

Qualifications

Eligibility

• 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

Desirable

• 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