Associate SFE Analytics Manager, Animal Health

About Animal Health Business

As the leading animal health company in China, we have extensive business coverage from the full value chain in R&D, production to sales and a diversified product portfolio covering swine, poultry, pets, cattle vaccines and medicines. We are always "in China and for China". We've pioneered many game-changers in the veterinary medicine, and we're looking to our customers' needs to guide us into the future.

Job Accountabilities

Advanced Analytics & Decision Intelligence
-Develop reusable analytical frameworks, business models, dashboards and decision-support solutions across key SFE areas, including SFE KPI, Potential, SAM, CRM, SFO and Territory.
-Own the development, governance and continuous enhancement of customer- and territory-level potential models, including methodology design, validation, business application and performance monitoring.
-Integrate customer, sales, engagement, organization, Territory, product and relevant commercial data to identify performance drivers, opportunities, penetration gaps and operational exceptions.
-Establish and maintain customer- and Territory-level potential, penetration and resource-allocation analyses.
-Support data-driven decisions on customer prioritization, Coverage, Territory design, FTE deployment, target allocation and resource investment.
-Translate analytical findings into clear management insights, decision scenarios and actionable recommendations.

Data Science, Impact Measurement & Optimization
-Translate complex SFE and commercial questions into fit-for-purpose statistical, predictive, machine-learning or optimization approaches.
-Develop and maintain customer scoring, segmentation, prioritization and resource-allocation models, including clear definitions of target variables, features, assumptions and success criteria.
-Evaluate the incremental impact and marginal return of selected SFE interventions, including field activities, customer prioritization, coverage models, territory design and incentive mechanisms.
-Monitor model outputs and KPI patterns to identify anomalies, unintended outcomes, performance deterioration and applicable business boundaries.
-Quantify model uncertainty, assumptions and limitations, and communicate their business implications clearly and transparently.
-Develop and validate Next Best Action (NBA) models to recommend prioritized customer actions or engagement opportunities.

Model Governance, Continuous Improvement & Business Adoption
-Manage model validation, documentation, back-testing, performance monitoring and recalibration.
-Review model performance against actual business outcomes and continuously improve model assumptions and methodologies.
-Partner with the Head of SFE and SFE BPs to translate model outputs into practical business decisions and drive effective adoption.
-Standardize and continuously improve existing Excel-based models and analytical tools, while exploring AI-enabled and lightweight digital solutions to enhance scalability and user experience.

SFE Business Partnering & Operations
-Provide SFE BP support for assigned business areas, with scope aligned to evolving business priorities.
-Support sales target allocation, customer segmentation, coverage planning and SFE performance reviews,etc.
-Coordinate with business stakeholders and SFE BPs to translate insights into actions and follow up on implementation.
-Manage other assigned SFE operations, including support sales performance recognition, data validation, reconciliation and appeal analysis.
-Standardize and automate workflows to improve data quality, process controls and operational efficiency.

Minimum Education/Degree Requirements

- Bachelor’s degree or above in Business Analytics, Economics, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Marketing Analytics or another discipline with strong quantitative analytics training.

Required Capabilities (Skills, Experience, Competencies)

- 5 years or above of experience in data science, advanced analytics, statistical modeling，Commercial Excellence Analytics or a related field，with hands-on modeling responsibility.
- Strong knowledge of statistics, regression, predictive modeling, segmentation and model evaluation; experience in NBA development would be preferred.
- Strong proficiency in Python or R and SQL; experience with Power BI and advanced Excel modeling is preferred.
- Problem solving, and results-oriented Motivation.
- Self-motivated
- Attention to detail and quality focused.
- Strong communication, stakeholder management and English skills;
- Language: Fluency in oral and written English; 
- Knowledge of SFE and Commercial Excellence would be a plus.
- Hands-on experience in AI-enabled analytics or business applications would be a plus.