Data and Analytics Solutions Engineer

Introduction to role Are you ready to lead the charge in transforming data into actionable insights? As a Turkiye Data & Analytics Solution Engineer and MEA Data Architect, you'll collaborate with global and regional data leads, as well as the Turkiye Commercial IT and Digital team, to define and execute a data and analytics roadmap that aligns with enterprise priorities. You'll design, develop, and deploy analytics solutions that address business needs, ensuring a unified data ecosystem. Your role will involve leading end‑to‑end project delivery, experimenting with new technologies, and fostering a culture of continuous improvement. You'll also act as a governance leader across MEA markets, positioning Türkiye as a beacon for data innovation. Accountabilities Collaborate with global/regional data and analytics leads and Turkiye Commercial IT and Digital team to define, communicate, and execute the data and analytics roadmap. Lead the design, development, and deployment of analytics solutions and data products that address business needs. Design and maintain compliant, integrated data architectures. Own and lead end-to‑end project delivery. Provide routine visibility on roadmap and project execution to all stakeholders. Proactively experiment with and innovate new technologies, tools, and methodologies relevant to data and analytics. Establish and maintain strong relationships with IT partners. Act as MEA Data Architect by driving governance, standardization, execution excellence. Essential Skills/Experience Minimum a Bachelor’s degree STEM fields (Science, Technology, Engineering, Mathematics) or a related field with 7-10 years of experience in a similar role 8+ years in data/analytics, including regional scope; strong track record delivering analytics platforms and products in complex, matrixed organizations. Experience in pharmaceuticals/life sciences, healthcare, or regulated industries preferred; familiarity with commercial analytics, omnichannel, RWE, or medical insights is a plus. Demonstrated capability in medium-to-large scale program/project management, agile delivery, stakeholder management, and change management across multiple markets. Proficiency with modern data platforms and tooling (e.g., cloud data warehouses/lakes, data integration and orchestration, BI/visualization, MDM, data quality tools); understanding of data product thinking, API‑led integration, and governance frameworks. Excellent communication, storytelling, and executive stakeholder engagement; ability to influence without authority. Experienced in applying IT best practice methodologies (ITIL, PMP, Agile, Prince2) Desirable Skills/Experience Preferred to prior experience in design thinking, lean and six sigma practices Strong grounding in data modelling, KPI frameworks, experimentation, and statistical/ML concepts; ability to translate business questions into data solutions. Knowledge of data privacy and compliance regulations including but not limited to KVKK, GDPR, ethical AI principles, and audit requirements. Prior experience in data visualization tools, data warehousing, and analytics platforms Focuses relentlessly on business value and user experience. Embraces continuous improvement and innovation. At AstraZeneca, our work directly impacts patients by transforming our ability to develop life‑changing medicines. We empower the business to perform at its peak by combining cutting‑edge science with leading digital technology platforms. Join us at a crucial stage of our journey to become a digital and data‑led enterprise. With the backing of significant investment, we drive cross‑company change to disrupt the industry. Our dynamic environment offers countless opportunities to learn and grow while making a difference in patients' lives worldwide. Ready to make an impact? Apply now to join our team #J-18808-Ljbffr