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Advanced Analytics ManagerPhilips North America • Cambridge, Massachusetts, United States
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Advanced Analytics Manager

Philips North America
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
Postuler Maintenant

À propos

Advanced Analytics Manager Our Advanced Analytics Manager will play a critical role in accelerating business performance by delivering scalable analytics, insights, and dashboarding solutions that support Sales, Finance, and Operations. This role focuses on driving revenue growth, optimizing sales processes, and enabling data‑driven decision‑making through advanced analytics and modern data platforms for Hospital Patient Monitoring (HPM).
Responsibilities
Lead the development of advanced analytics solutions to support sales performance, revenue optimization, territory and quota management, and workforce efficiency.
Design and maintain scalable data models and data pipelines leveraging cloud‑based platforms such as Azure and Databricks, integrating enterprise data sources.
Build and deliver executive‑ready dashboards and enable self‑service reporting using Power BI and related business intelligence tools. Translate complex business questions into structured analytical frameworks, metrics, and actionable insights that influence strategic decisions.
Partner cross‑functionally with Sales, Finance, Operations, and IT to align analytics initiatives with HPM business priorities and drive measurable impact.
Establish and support data governance practices, KPI standardization, and metric definitions to ensure consistency, accuracy, and trust in reporting. Contribute to analytics roadmap planning, prioritization, and continuous improvement of data and analytics capabilities.
Coach and enable business stakeholders on data interpretation, driving adoption through training, documentation, and best practices.
Qualifications
5+ years of experience in analytics, data science, business intelligence, or a related field, preferably supporting sales, commercial, or operational functions. Strong experience translating business needs into analytical solutions and communicating insights to senior stakeholders.
Advanced data modeling, data engineering, and data visualization skills with strong experience in Power BI, SQL, Python, and cloud platforms such as Azure and Databricks.
Bachelor’s degree required in Data Science, Analytics, Engineering, Business, or a related field; Master’s preferred.
Ability to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
Comfortable working cross‑functionally and influencing decision‑making in a matrixed organization, proactive problem‑solver with a passion for continuous learning, innovation, and driving business impact through data.
Benefits The pay range for this position in Cambridge, MA is $131,000 to $209,000. The pay range for this position in Nashville, TN is $117,000 to $187,000. The actual base pay offered may vary within the posted ranges depending on multiple factors including job‑related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation, such as an annual incentive bonus, sales commission or long‑term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.
US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work‑authorized visa, now or in the future.
Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Cambridge, MA or Nashville, TN.
Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug‑free workplace.
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  • Cambridge, Massachusetts, United States

Compétences linguistiques

  • English
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