Philips Analytics Solution Architect - Business Analytics in Bangalore, India

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Support business in their decision making needs (Operational/ Strategic) by providing insights from Data.

Assess solutions for business opportunities by leveraging data (Transactional Data/ Big Data, External and Internal Data, Structured and Unstructured Data) and analytics methods.

Provide consulting, advice, training and support in analytics. Furthermore, will build the application related part of analytics knowledge base in the organization domain.

Deliver high impact Business insights enabled by Analytics to various functions under the Philips Group Operations. (Markets/ BGs/ Functions would also be consumers of the related Insights from Group Operations)

Drive Digital Innovation and deliver Value services to enable the Group Operations Transformation agenda. Enable improvement programs across Philips Sites- using levers such as process automation, digital technologies, analytics, artificial intelligence, etc

Harmonize and optimize various Analytics efforts happening under the wider Group Operations to maximize ROI from data & analytics for Philips

Key Areas of Responsibilities

  • Support business in their decision making needs (Operational/ Strategic) by providing insights from Data.

  • Assess solutions for business opportunities by leveraging data (Transactional Data/ Big Data, External and Internal Data, Structured and Unstructured Data) and analytics methods.

  • Provide consulting, advice, training and support in analytics. Furthermore, will build the application related part of analytics knowledge base in the organization domain.

  • Expertize in analytics techniques/ methods and tools; Expertize in translating business requirements in to analytics and vice versa; strong execution and drive for results; focus on customers; change management skills; E2E operational excellence.

  • Analytical bent of mind

  • Expertize in analytics solutions design, development and deployment

  • Expertize in predictive analytics techniques, and data mining

  • Experience in the areas of analytics, exposure to emerging digital technologies/ landscape. (eg Cloud computing, designing and embedding predictive analytics models into workflows/ processes)

  • Expertize in R, Python tools

  • Expertize in Machine learning & AI techniques

  • Ability to manage stakeholders within the organisation

  • Ability to present facts based on data and in working with very large quantum of data

  • Have Business context across the multiple functions in an Organization - accelerating the ability to 'connect the dots' across the breadth & depth of large Organizations to enable Business results

Experience & Qualifications

  • Ability to communicate clearly (oral, written and remote) to remote audience with clear business articulation

  • Expertise in multiple tools and techniques

  • Understands and supports many business processes with analytics solutions/ deliveries

  • Managing direct and indirect stakeholders (support functions) like Finance, IT etc.

  • Collaborates and influences with known stakeholders

  • Identify and replicate best practices across the domain/tools techniques

  • Keep abreast with latest develop in analytics domain, emerging technology

  • Advises business champions in the domain where analytics can contribute

  • Year of industry Exp: 8 – 10 Years; Relevant Exp in analytics domain: 5+ years