Job ID : 34438
Location : Boston, MA
Company Name : MSIT
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $106200 - $107700 per hour
No. of Positions : I have ongoing need to fill this role
Required Skills : Programming languages, Java, Python..
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :Responsibilities:
- Drives analytics for supply chain and transportation optimization by collaborating with cross functional teams.
- Support key strategic initiatives and process improvements with analytics contributions.
- Understand market trends and assess impacts with regards to supply chain operations.
- Support the development of an “analytical capability” and data concepts to become the business expert in these areas.
- Translates medium to large data sets, analysis, and complex models in usable, effective, and presentable data to key stakeholders to drive business improvement opportunities.
- Effectively participate in Agile Ceremonies with Product teams.
- Participate in production of innovative analytic solutions that drive existing and changing business processes and business strategies.
- Perform recurring and ad hoc quantitative analysis to support day-to-day decision making.
- Work with customer-centric algorithm models and tailor them to each customer as required.
Qualifications:
- Bachelor’s degree in quantitative/analytical or related discipline or equivalent years of work experience.
- 5 years or more of experience in Supply Chain with Inventory Management, Logistics and Warehousing
- Strong cross functional collaboration with supply chain users is essential.
- Excellent written and oral English communication skills are required.
- Excellent helicopter view as well as deep dive analytical skills are required.
- Ability to translate complex data into a consumable presentation.
- Ability to travel to 2-3 conferences a year.
- Nice to have PowerBI data visualization development.
Key Skills:
- Advanced knowledge of data analytics, cleaning and preparation.
- Proficiency with data modeling and data analysis tools.
- Expertise in programming languages Java, Python, R, SAS, Scala, SQL.
- Experience with statistical and mathematical analysis.