Senior Data Analyst I

Beschreibung

Job Zusammenfassung Du entwickelst Analysen zur Verbesserung der Relevanz und Genauigkeit des Reaxys-Suchsystems, führst komplexe Datenanalysen mit SQL und Python/Java durch und erarbeitest umsetzbare Empfehlungen für Stakeholder. Job Zusammenfassung Du entwickelst Analysen zur Verbesserung der Relevanz und Genauigkeit des Reaxys-Suchsystems, führst komplexe Datenanalysen mit SQL und Python/Java durch und erarbeitest umsetzbare Empfehlungen für Stakeholder. Deine Rolle im Team You will contribute to initiatives that enhance chemistry intelligence and data-driven customer impact through quality evaluation of the Reaxys search engine. Your work will focus on enriching chemical and regulatory datasets to improve search relevance, accuracy, and analytical capabilities. You will collaborate closely with Product Owners and Technology partners, working in an agile environment to deliver continuous improvements and measurable impact. Collaborate with team members to generate data-driven customer impact insights and translate complex analyses into actionable recommendations for stakeholders. Perform advanced analytical work using SQL and Python/Java (e.g., trend analysis, anomaly detection, segmentation) to uncover patterns and drive decision-making. Develop and maintain reusable analytics code (modules, notebooks, automation jobs such as Jenkins or GitHub Actions) with version control, quality testing, and documentation to ensure scalability and repeatability. Contribute to the continuous improvement of data analysis frameworks and methodologies, including GenAI-driven evaluation approaches. Mentor and review peer work (SQL logic, analytical methodology, validation approaches) to elevate overall quality and consistency. Unsere Erwartungen an dich Qualifikationen Academic background (Masters/PhD) in Biochemistry, Bioinformatics, Computational Biology /Chemistry or allied fields. Strong data analysis and scripting skills using Python and/or Java. Collaborative mindset with a proactive approach to knowledge sharing and cross-functional teamwork. Erfahrung Experience using chemistry or scientific databases (e.g., Reaxys or similar platforms) as an end user is beneficial but not mandatory. Hands-on experience working with databases (e.g., PostgreSQL or other relational/analytical database systems). Experience utilizing cloud platforms (e.g., AWS, Azure, or similar) for data processing, analytics workflows, and scalable data solutions. Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows. Unser Angebot We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Work on a high-impact platform used by scientists and innovators worldwide. Embrace the future of software engineering with AI development tools. Collaborate with a diverse, global team. Flexible hybrid work environment. Themen mit denen du dich im Job beschäftigst AI Data Economy Metadaten Level: Senior Job Feld: Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Gesundheitswesen, Soziales, Internet, IT, Telekom Ort: Frankfurt am Main | Deutschland

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