Location : Chennai / Bangalore
In this role, you have the opportunity to
Be a key player in the Supply Chain Data Analytics team. You are a data expert with serious analytical and statistical chops.
You know how to take massive amounts of data and find the insights supply chain teams need to improve and optimize the Supply Chain business.
You are responsible for
Evaluates supply chain concepts and scenarios using analytic techniques
Applies advanced analytic techniques such as optimization, simulation, data mining and statistics to design, implement, validate, and refine mathematical models and algorithms to understand, evaluate and optimize supply chain
Develops insightful data driven recommendations and actions
Accountable for moving analytics to strategy within a program or model working with business partners.
Implements solutions to problems using data analysis, data mining, optimization tools and machine learning techniques and statistics
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of analytics experiments
Applies a global approach to analytical solutions-both within Supply Chain globally
Develops and implements strategic direction and operational processes for Supply Chain and the different teams.
Drives the Integrated Supply Chain strategy delivering value for our Customers and for Philips through the implementation of a competitive integrated supply chain, digitally managed with a transparent end-to-end view
Promotes use of analytics with in domain and build internal and external resources and expertise
You are a part of
The Global Domestic Appliances Supply Chain organization, part of the Supply Chain Data Analytics team.
To succeed in this role, you should have the following skills and experience :
3-5 Years work experience
Minimum 3 years experience in Supply Chain
Broad understanding of Supply Chain management.
Previous experience in Data science / Analytics / Statistician roles
Advanced statistical knowledge
Ability to run different scenarios of forecasting methodologies and measure performance
Decide the statistical models and parameters to optimize statistical baseline quality
Hands on and detail oriented, with a strong ability to co-ordinate across different Geographies and with different stakeholders
Experience solving analytical problems using quantitative approaches
Passion for empirical research and for answering hard questions with data
Ability to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources
Business acumen and articulation skills
Expertise in translating business requirements for analytics solution-ing
In return, we offer you
A path towards your most rewarding career. Philips is one of the best in-class organization which offers you big exposure and long-term career development such as internal transfer and international mobility opportunities.
REPLACE WITH DA TEASER â TA HAS THIS.