
上海 Associate SFE Analytics Manager, Animal Health 中国
Boehringer Ingelheim · About Animal Health Business
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Job description
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. 立即申请 » 查找类似职位: 数据隐私 © 2010-2023 Boehringer Ingelheim GmbH
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