Data Analytics and AI Business analyst internship

at  AstraZeneca

Job Description
Position: Summer Intern – Data Analytics & AI Business Analyst
Duration: 8 Weeks
Location: AstraZeneca, Macclesfield
About AstraZeneca
AstraZeneca is a global, science-led biopharmaceutical business and its innovative medicines are used by millions of patients worldwide. AstraZeneca has long been an advocate of student work placement training! These placements immerse students in the pharmaceutical industry, allowing the opportunity to contribute to our diverse pipeline of medicines whether in the lab or outside of it. You will feel trusted and empowered to take on new challenges, but with all the help and guidance you need to succeed. At AstraZeneca, you will engage in meaningful work within a pioneering research and development organization. This placement will help you develop essential skills, expand your knowledge, and build a network that will set you up for future success. You will be surrounded by curious, passionate, and open-minded professionals eager to learn and follow the science, fostering your growth in a truly collaborative and global team.
Introduction to role
About the Role:
Join AstraZeneca’s Data Analytics & AI team within Operations IT as a Business Analyst Intern, where you’ll help drive operational excellence by leveraging data insights and AI solutions. You’ll work on real-world projects, analyze performance metrics, and explore innovative solutions to optimize processes and support data-driven decision-making.

Key Responsibilities:

• Analyze operational performance metrics (e.g., KPIs, benchmarks) to identify trends and improvement areas.
• Support financial analysis, including Profit & Loss (P&L) assessments, to drive cost-effective decisions.
• Develop dashboards, visualizations, and reports for actionable insights.
• Collaborate with stakeholders to define and document business requirements for DA&AI initiatives.
• Explore AI applications for process optimization and forecasting.

Requirements:

• Passion for Data Analytics and AI with an understanding of their operational applications.
• Knowledge of operational metrics, KPIs, and financial concepts (e.g., P&L, budgeting).
• Proficiency in Excel, Power BI, or Tableau; familiarity with Python, R, or SQL is a plus.
• Strong problem-solving, communication, and teamwork skills.
• Self-motivated and eager to learn in a dynamic environment.

Education:
Pursuing a degree in Business Administration, Finance, Accounting, Data Analytics, Computer Science, or a related field.
What You’ll Gain:
Hands-on experience in DA&AI within a leading biopharmaceutical company.
Exposure to operational and financial performance management.
Mentorship from industry professionals and opportunities to contribute to impactful projects.
Application Process:
Apply here and submit your resume and a cover letter highlighting your passion for DA&AI and relevant knowledge.
Be part of AstraZeneca’s mission to deliver life-changing medicines through innovation.
Applications will be open until 19th February 2025 and you can expect to hear from us by the end of March 2025.
This placement will start 02/06/2025 - 01/08/2025
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

• Analyze operational performance metrics (e.g., KPIs, benchmarks) to identify trends and improvement areas.
• Support financial analysis, including Profit & Loss (P&L) assessments, to drive cost-effective decisions.
• Develop dashboards, visualizations, and reports for actionable insights.
• Collaborate with stakeholders to define and document business requirements for DA&AI initiatives.
• Explore AI applications for process optimization and forecasting