AstraZeneca(Associate) Manager-Business Analytics
AstraZeneca is hiring a (Associate) Manager-Business Analytics. Level rates it ; you can apply on AstraZeneca.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Copilot, Power Query and Excel.
- Level classifies it as a senior role.
- Level lists 1,100+ other open roles at AstraZeneca.
AI in this role
Lead business analytics and data quality workflows by leveraging LLMs and AI agents to optimize reporting.
SUMMARY OF THE ROLE
The role is mainly responsible for comprehensive external data analysis and business performance analysis for the purpose of support SMT in making key decisions, especially in national market trend reporting .
Major works include:
- Conduct national-level performance analysis and business monitoring
- Manage external data vendors and design data quality control frameworks to ensure the accuracy and reliability of market data
ROLE & RESPONSIBILITIES
1. In-depth Business Analysis and Reporting
- Monitor and analyze pharmaceutical market dynamics, competitive landscape, and business performance trends
- Integrate and analyze external market data and internal business data to generate actionable insights for business stakeholders
2. Data Quality Management
- Conduct hands-on data profiling, cleansing and anomaly identification using Power Query (Excel/Power BI) to extract, transform and load business datasets
- Ensure data consistency and data quality across all types of BI reports/AI tools and reports.
3. Leverage Generative AI, Large Language Models (LLMs) and AI Agents to Optimize Data Management & Reporting Workflows
- Design and deploy AI agent-assisted automation tools to accelerate business glossary compilation, data dictionary maintenance, critical data element extraction and cross-department KPI standard alignment for MI and behavioral reports.
REQUIREMENTS
Essential Qualifications & Experience
1. Bachelor’s degree in Information Management, Data Science, Computer Science, Pharmacy, Life Sciences, Business Administration or equivalent professional experience; Master’s degree preferred.
2. Minimum 4 years progressive hands-on experience in pharmaceutical/biotech industry, with core experience in SFE, sales & marketing business analytics; familiar with commercial data in pharmaceutical industry
3. Hands-on experience in pharmaceutical commercial performance analysis, including sales tracking, market trend analysis, and insight generation.
Preferred Qualifications
1. Strong hands-on data processing capability: Advanced proficiency in Power Query (Excel & Power BI) for data extraction, transformation, merging, deduplication, profiling and building repeatable data cleansing logic
2. Hands-on experience with LLMs and Copilot for data analysis and insight generation
Date Posted
08-10月-2026Closing Date
27-12月-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.
How we rate this
(Associate) Manager-Business Analytics at AstraZeneca rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where business analytics was part of your work. What did you do?
- Tell me about a project where data quality management was part of your work. What did you do?
- Tell me about a project where market trend analysis was part of your work. What did you do?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Business Analytics, Data Quality Management, Market Trend Analysis, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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