(Associate) Manager-Business Analytics
China
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingMonitor pharmaceutical market trends, competitors and national business performance
Combine external market data with internal business data to produce insights
Profile, cleanse and check business datasets in Power Query for accuracy
Manage external data vendors and design data quality control frameworks
Build AI agent-assisted tools for glossaries, data dictionaries and KPI alignment
From the employer’s posting
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
Conduct hands-on data profiling, cleansing and anomaly identification using Power Query (Excel/Power BI)
Manage external data vendors and design data quality control frameworks to ensure the accuracy and reliability of market data
Design and deploy AI agent-assisted automation tools to accelerate business glossary compilation, data dictionary maintenance
What you’ll bring
All qualificationsCore experience
- Hands-on experience in pharmaceutical commercial performance analysis, including sales tracking, market trend analysis, and insight generation.
Preferred experience
- Bachelor’s degree in Information Management, Data Science, Computer Science, Pharmacy, Life Sciences, Business Administration or equivalent professional experience; Master’s degree preferred.
- Hands-on experience with LLMs and Copilot for data analysis and insight generation
Qualification wording
3. Hands-on experience in pharmaceutical commercial performance analysis, including sales tracking, market trend analysis, and insight generation.
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. Hands-on experience with LLMs and Copilot for data analysis and insight generation
Education & alternatives
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
Tools in this posting
- Excel
- Power BI
- Power Query
Source — Tool mentions in context
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.
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 5, 2026 · 85 days ago
- Recorded sightings
- 178
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
China
Working pattern and location restrictions need checking in the full posting.
- Work authorization
27-12月-2026 AstraZeneca 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.
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