Develop and communicate data-driven and actionable insights that drive greater customer and market understanding to inform launch & go-to market strategies and help meet in-line commercial objectives.
Locations (4)
North Wales, Pennsylvania, United States
San Francisco, United States
Los Angeles, United States
Rahway, New Jersey, United States
Compensation
The salary range for the primary location of this role is: $156,900.00 - $247,000.00
Responsibilities
Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights.
Communicate & collaborate effectively with cross functional teams with competencies in market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing operations, medical & clinical backgrounds.
Analyze data across disparate databases/sources (including claims/EMR Data and other sources) to develop insights that inform commercial business strategies.
Stay current with industry trends and advancements in analytical methodologies to bring new ideas forward (including application of GenAI) that will enhance analytic capabilities of the organization.
Derive actionable business insights from various data sources, develop clear data story, and communicate effectively to business stakeholders.
Requirements
BS (or equivalent) in Data Science, Mathematics, Economics, Computer Science, Statistics, Decision Science, Marketing, Engineering, Public Health, or equivalent scientific/ commercial discipline
Develop and communicate data-driven and actionable insights to inform launch & go-to market strategies and meet commercial objectives within the DHH US & Global Market Engagement Team.
Locations (4)
North Wales, Pennsylvania, United States
San Francisco, California, United States
Los Angeles, California, United States
Rahway, New Jersey, United States
Compensation
The salary range for the primary location of this role is: $129,000.00 - $203,100.00
Responsibilities
Translate business needs and priorities to build analytical plans that answer business questions by providing actionable insights
Apoyar al equipo en la generación de información, reportes, automatización y documentación de controles, contribuyendo a mejorar la eficiencia, trazabilidad y calidad de los procesos y monitoreos del área.
Responsibilities
Apoyar en la programación y automatización de controles y procesos manuales del área mediante herramientas como SQL, Python y/o R Studio.
Realizar extracción y estructuración de información para generar eficiencias dentro del área.
Ejecutar pruebas y conciliaciones para validar la integridad y exactitud de las soluciones desarrolladas.
Apoyar en el desarrollo de reportes, tableros e indicadores para el seguimiento de controles, alertas y excepciones.
Contribuir a la digitalización y automatización de procesos operativos, reduciendo tareas manuales y reprocesos.
Requirements
Finance
Commercial Engineering
Industrial Engineering
Nice to have: Basic English
Nice to have: Interest in financial sector and capital markets
As a Senior Demand Forecast Analyst – NAM, you will sit at the intersection of data science and commercial planning, building and improving the statistical forecasting models that underpin demand planning capability.
Compensation
The salary range for the role is CAD$94,000 - CAD$124,000
Responsibilities
Developing and maintaining statistical forecasting models, enhancing baseline forecast generation, and evaluating and implementing new forecasting techniques
Improving forecast accuracy by identifying patterns, trends, and demand drivers, and continuously evolving modelling approaches to strengthen the demand signal
Driving automation and process improvement to reduce manual overrides, and reporting on visualizing data to communicate findings to planning and commercial partners
Partnering with demand planning teams to improve forecast adoption, balancing model output with business context to ensure forecasts are both technically sound and commercially relevant
Translating complex analytical outputs into clear, actionable insights for non-technical stakeholders across planning, merchandising, and commercial functions
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