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Employer: State Cashmere LLC

Expires: 07/23/2021

Job Description·      Founded in 2017, New York-based brand, State Cashmere, has reinvented the meaning behind high-quality cashmere apparel. We promise to deliver the best quality products at a lower retail price through efficient direct-to-consumer channels. With our essential collection made from 100% cashmere and sustainable practices, we are building a community for individuals who value the quality of life.·      State Cashmere is seeking a Data Analyst Internship to join our data team, where you will where you will use data to help solve business problems, like how to optimize profits, minimize turnovers and streamline logistic processes. You will look at complex sets of information, collecting data and analyzing them to reach conclusions.·      We would love to hear from you if you are self-motivated, detail-oriented, and able to multitask and prioritize in a fast-paced environment, with a laser-beam focus on process and a passion for fashion industry.Your day-to-day:·      Work with executives and other business leaders to identify opportunities for improvement·      Create reports for internal teams and/or external clients·      Collaborate with team members to collect and analyze data·      Use graphs, infographics and other methods to visualize data·      Establish KPIs to measure the effectiveness of business decisions·      Structure large data sets to find usable information·      Create presentations and reports based on recommendations and findingsWe would love to hear from you if you have:·      BA/BS degree in a quantitative or computing focused degree such as Statistics, Data Science or Business Analytics.·      Expertise in R, Python, or another scientific computation suitable language, with experience writing production quality code for data applications.·      Expertise in SQL extending to knowledge of database design and warehousing concepts.·      Able to translate open ended and ambiguous business requirements into the right data solutions.