data & ai insights analyst

Intellectica is recruiting a Data & AI Insights Analyst on behalf of a leading pharmaceutical organization with a strong international footprint and a long-standing track record in innovation, research, and development. Based in Athens, Greece, the successful candidate will report directly to the Business Development & Portfolio Manager and will play a key role in enabling data‑driven decision-making, developing predictive analytics, and supporting the gradual transition of AI capabilities from external partners to an in‑house model.

Key activities and responsibilities of this role include:

• Play a key role in driving data- and AI-powered decision-making within a growing, internationally active business environment

• Act as a consultative partner on AI-related initiatives, proactively identifying opportunities, proposing use cases, and contributing ideas for the adoption and optimization of AI solutions across the department

• Partner with stakeholders to analyze business cases and translate data into clear, actionable insights

• Conduct market and geographical analyses using statistical and external datasets, identifying trends, competitive dynamics, and growth opportunities

• Support strategic decisions on market expansion, investment priorities, and portfolio development through data-driven recommendations

• Perform historical and exploratory analyses to assess market potential and business viability

• Leverage and evaluate AI tools to enhance analytics capabilities and business outcomes

• Develop and support predictive models and forecasting approaches, exploring solutions for complex business prediction challenges

• Structure and optimize data for analytics, supporting the transition to in-house AI capabilities and the development of internal AI-driven applications and solutions

• Prepare and deliver clear, insightful presentations of data and analytical findings to senior management, supporting strategic decision-making; translate complex analytical outputs into business-friendly narratives tailored to non-technical stakeholders

• Any other task that may be required from time to time

Professional experience & qualifications of a successful candidate:

• University degree in Computer Science, Mathematics, Statistics, Information Technology, Engineering or related field; a Master’s degree in a relevant field (e.g. AI, Data Science, Analytics, Economics, Statistics)

• Up to 5 years of experience in Data Analytics, Data Science, or Business/Commercial Analytics, with proven exposure to data-driven decision-making

• Experience in the pharmaceutical or healthcare industry will be considered a strong plus

• Proficiency in Excel; solid understanding of statistical analysis and data analytics methodologies

• Experience working with large and complex datasets, as well as data visualization tools will be considered an asset

• Strong familiarity with modern AI tools and a genuine interest in exploring and applying emerging AI technologies in practice

• Basic understanding of business strategy, market dynamics, and financial concepts will be considered an advantage

• Familiarity with predictive analytics and forecasting techniques is considered a strong plus

• Fluent in Greek and English (written and verbal), with the ability to engage effectively with stakeholders across all levels of the organization

Core competencies of a successful candidate:

• Strong analytical and critical thinking skills with a structured approach to problem-solving

• Proactive, hands-on attitude with a strong sense of ownership and accountability

• Consultative mindset with the ability to identify opportunities and propose practical solutions

• Collaborative team player with strong interpersonal skills and a positive, adaptable approach