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Intellectica is recruiting a Data &amp; 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 &amp; 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.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Play a key role in driving data- and AI-powered decision-making within a growing, internationally active business environment</li><li>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</li><li>Partner with stakeholders to analyze business cases and translate data into clear, actionable insights</li><li>Conduct market and geographical analyses using statistical and external datasets, identifying trends, competitive dynamics, and growth opportunities</li><li>Support strategic decisions on market expansion, investment priorities, and portfolio development through data-driven recommendations</li><li>Perform historical and exploratory analyses to assess market potential and business viability</li><li>Leverage and evaluate AI tools to enhance analytics capabilities and business outcomes</li><li>Develop and support predictive models and forecasting approaches, exploring solutions for complex business prediction challenges</li><li>Structure and optimize data for analytics, supporting the transition to in-house AI capabilities and the development of internal AI-driven applications and solutions</li><li>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</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>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)</li><li>Up to 5 years of experience in Data Analytics, Data Science, or Business/Commercial Analytics, with proven exposure to data-driven decision-making</li><li>Experience in the pharmaceutical or healthcare industry will be considered a strong plus</li><li>Proficiency in Excel; solid understanding of statistical analysis and data analytics methodologies</li><li>Experience working with large and complex datasets, as well as data visualization tools will be considered an asset</li><li>Strong familiarity with modern AI tools and a genuine interest in exploring and applying emerging AI technologies in practice</li><li>Basic understanding of business strategy, market dynamics, and financial concepts will be considered an advantage</li><li>Familiarity with predictive analytics and forecasting techniques is considered a strong plus</li><li>Fluent in Greek and English (written and verbal), with the ability to engage effectively with stakeholders across all levels of the organization</li></ul>&nbsp;Core competencies of a successful candidate:&nbsp;<ul><li>Strong analytical and critical thinking skills with a structured approach to problem-solving</li><li>Proactive, hands-on attitude with a strong sense of ownership and accountability</li><li>Consultative mindset with the ability to identify opportunities and propose practical solutions</li><li>Collaborative team player with strong interpersonal skills and a positive, adaptable approach</li></ul>

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