Introduction to role
The Data and Insights Analyst will play a critical role in transforming data from manufacturing operations, quality control, supply chain, and business transactions into actionable insights. This position will support operational excellence, ensure regulatory compliance, and drive strategic decisions, partnering with cross-functional teams involved in External Supply and Manufacturing.
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Collect, clean, validate, and analyze data from various sources across external supply chains, quality control, and using source data from a variety of business systems including ERP systems and sharepoint
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Develop and maintain dashboards and reports to track key performance indicators
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Use statistical analysis, predictive modelling, and data visualization to identify business risks and opportunities for process optimization, ensuring positive impact to productivity and cost of goods targets
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Translate complex analytical findings into clear, actionable recommendations for business teams
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Support audit and regulatory compliance data requirements, ensuring data integrity and traceability according to GMP and quality standards
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Collaborate with IT and data engineering teams to improve data integration, accessibility, and reporting automation
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Provide insights that guide resource allocation, capacity planning, and customer relationship management
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Contribute to a culture of continuous improvement by identifying and driving data-informed initiatives across the organization.
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Promoting an environment of no hurt, harm or alarm
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Work in a manner which promotes the safety and well being of self, others and environment
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Proactively contribute to improving SHE performance
Ensuring compliance of self and others to internal and external regulations
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Comply with all systems, processes and procedures in line with statutory/ legislative / quality requirements
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Conduct activities and interactions consistent with Company values and in compliance with the Code of Conduct and supporting Policies and Standards relevant to your role. Complete all required training on the AZ Code of Conduct and supporting Policies and Standards on time. Report potential issues of non-compliance.
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Ensuring customer service is always considered.
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Promoting a cost conscious environment to enable effective cost management.
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Ensure all work is carried out in accordance to approved and established processes and procedures.
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Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field
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Proven experience in data analysis within a regulated manufacturing or pharmaceutical environment
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Proficiency in data tools such as SQL, Python, R, and visualization platforms such as Tableau or Power BI
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Strong knowledge of manufacturing metrics, GMP, compliance standards, and regulatory reporting
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Excellent communication skills, with ability to convey complex data findings to non-technical audiences
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Attention to detail, integrity of analysis, and ability to meet deadlines
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Experience working cross-functionally within operations, quality, and business teams
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
AstraZeneca is a place where scientific leadership transforms patients' lives. With science at its core, breakthroughs born in the lab become transformative medicine for complex diseases. We strive to understand diverse populations' needs and act accordingly, aiming to transform healthcare for a future where everyone can access affordable, sustainable, innovative healthcare. Our ground-breaking pipeline promises a bright future. Be proud to join a global enterprise leading healthcare advancements.
Ready to make a difference? Apply now!