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Position summary: An Advanced Analytics Senior Analyst is responsible for developing models, optimization tools and reports and driving continuous improvement initiatives within the Advanced Analytics team. As an Advanced Analytics Analyst, you will be responsible for researching, developing, and implementing quantitative models to improve operating efficiency, reduce cost and increase revenue. You will participate in performing data analysis, and generating reports to address business needs under the mentorship of a senior member of the team.
Primary responsibilities:
Analyze the physical distribution system to ascertain whether it is functioning according to the needs and objectives of the company. Participate as a data analyst in the selection of sites for plants, distribution centers, pool points and cross docks. Participate in the determination of warehouse size, product flow, and the facility locations.
Assist in evaluation and monitoring of supply chain plans, transportation and distribution oriented costs. Work collaboratively to develop math models to solve supply chain business problems under the supervision of an Advanced Analytics Lead or Principal.
Develop predictive models, dashboards and tools for use both within the department and across the company that promote continues improvement within the Supply Chain.
Analyze model outputs and reports for accuracy, timeliness, and pertinence. Summarize data for use in commentaries to divisions, subsidiaries, branches and departments. Ad-hoc project work.
Requirements and minimum education level:
A graduate degree in industrial engineering, operations research, or a related discipline
Experience & skills:
3+ years of validated experience in applying operations research techniques and/or statistical modeling techniques preferred
Programming skills in at least one programming language (C++/Java/Python), math programming engine (CPLEX/Gurobi), Statistical package (R/SAS), SQL.
Experience with Llamasoft Supply Chain Guru preferred.
Strong knowledge of mathematical modeling skills such as Linear Programming, Mixed Integer Programming, Heuristics etc.
Familiarity and experience with other analytical approaches (machine learning, statistics, etc.).
Very strong analytical abilities and problem solving skills
Experience with SQL and relational databases.
Experience developing dashboards using visualization technologies such as Tableau and Power BI.
Ability to communicate effectively through oral presentations and written reports.
Knowledge of software development methodology is a plus.
Experience in Azure and Databricks is a plus.
The Nestlé Companies are an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.