Associate SFE Analytics Manager, Animal Health (上海, 中国)

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.