RGM Advanced Analytics Lead

Bangalore–Embassy Business Hub, India

Philips

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Job Title

RGM Advanced Analytics Lead

Job Description

Job title:
RGM Advanced Analytics Lead

Your role:

  • Design and Build: Develop RGM-focused advanced analytics tools (e.g., Pocket Price Waterfall, Trade Spend ROI models, Price-Pack Architecture optimizers) from scratch.
  • Data Engineering & Modeling: Structure and model data pipelines using Python, SQL, and ideally Azure Data Lake for real-time and batch analytics.
  • Machine Learning: Apply and deploy predictive analytics and machine learning models to support key RGM use cases.
  • Visualization & Storytelling: Lead dashboard design and development in Qlik and Power BI, ensuring data-driven decision support tools are intuitive, scalable, and impactful.
  • Cross-functional Collaboration: Work with business stakeholders (Sales, Finance, Marketing) to gather requirements and translate them into analytics products.
  • Governance & Automation: Ensure scalability, reusability, and governance of analytics assets; help automate manual RGM processes using data pipelines and scripts.
  • Mentorship: Guide and mentor junior analysts/data scientists on technical best practices and RGM domain knowledge.
     

You're the right fit if:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Economics, or related field.
  • 10+ years of experience in advanced analytics, data science, or a similar role.
  • Proficient in Python, SQL, and familiarity with Azure Data Lake, Azure Databricks, or equivalent cloud platforms.
  • Strong experience in machine learning, regression modeling, clustering, forecasting, and model deployment.
  • Proven expertise in Qlik, Power BI, or equivalent dashboarding tools.
  • Experience working with large, complex datasets in a business context.
  • Strong business acumen and prior exposure to RGM levers (pricing, promotions, assortment, etc.).
  • Preferred Qualifications
  • Experience in the Consumer Goods or Retail industry.
  • Familiarity with Git, CI/CD pipelines, or MLOps practices.
  • Prior experience in building analytics platforms or products from scratch.
  • Passion for simplifying complexity and delivering insights that drive action.
     


How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

Indicate if this role is an office/field/onsite role.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure CI/CD Clustering Computer Science Databricks Data pipelines Economics Engineering Finance Git Machine Learning Mathematics ML models MLOps Model deployment Pipelines Power BI Python Qlik SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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