This role will be focused on applying advanced analytics to support the evaluation and development of both costing and pricing strategies, as well as the design of processes, tools, and metrics to execute strategy. This will require expert ability in all areas of analytics, including problem conceptualization; data acquisition, cleansing and manipulation; mathematical modeling; analytical and heuristic solution methods; and the ability to synthesize, visualize and communicate results and recommend a course of action. This role will also advocate for any additional BI capabilities needed to develop predictive models or to quantify the impact of any element of the margin waterfall.
Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
Identify and use appropriate technologies and platform to execute analytics against business requirements, including the ability to scale, deploy and distribute models across enterprise as needed
Support the development of business cases for new solutions, with in-depth analysis of the challenge being addressed, the cost of the solution and projected business impact
Support the development of performance management scorecards and dashboards to monitor adoption, implementation and impact of price and cost strategies
Collaborate with cross-functional teams to frame requirements within an analytics context in order to tackle business goals
3+ years of experience accessing and manipulating data in SQL or NoSQL database environments
3+ years of experience with scientific scripting languages (e.g., Python, R, SAS) and/or object oriented programming (e.g., C++, Java)
2+ years of experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis required
7-10 years of overall analytics experience, can be inclusive of post graduate work
Experience in dynamic programming or text mining highly preferredMaster’s or PhD degree with a focus on a quantitative research and 2+ years of non-academic experience required; or equivalent experience in a R&D environment.Proven capabilities executing analytics in a project-based environment for a wide range of applications in a corporate/production scale
Education and/or Experience:
Master’s or PhD degree with a focus on a quantitative research and 2+ years of non-academic experience required; or equivalent experience in a R&D environment.
Proven capabilities executing analytics in a project-based environment for a wide range of applications in a corporate/production scale
Applicants must be currently authorized to work in the U.S. on a full-time basis without future employment sponsorship
Sysco is the global leader in selling, marketing and distributing food products to restaurants, healthcare and educational facilities, lodging establishments and other customers who prepare meals away from home. Our family of products also includes equipment and supplies for the foodservice and hospitality industries. We operate 300 distribution facilities worldwide serving more than 500,000 custo...mers in markets located in the U.S., Canada, Ireland, the Bahamas and other countries. For fiscal 2017 that ended July 1, 2017, the company generated sales of more than $55 billion.