(Associate) Manager-Business Analytics

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

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 authorisation and employment eligibility verification requirements.