Levi Strauss & Company:
Summer Intern - IT, Data Engineer & Visualization Job in San Francisco, VT

JOB DESCRIPTION This summer you could have the opportunity to work for one of Levi Strauss & Co.’s iconic brands! Our San Francisco-based Summer Internship opportunities, among the Levi’s® and Dockers® brands, give students real world work experience and exposure to one of the world’s leading fashion and apparel companies. Our 10 week Summer Internship Program is the perfect way to gain work experience within the core of the organization, while learning what a career at LS&Co. might have in store for you. In addition to day-to-day responsibilities, all interns will participate in an intern group project dedicated to a critical business initiative as well as be exposed to all areas of our business and our brands. Leadership seminars and career exploration series connect our interns to our leaders and educate around different career paths. Intern’s performance will be assessed using our internal review process. Primary responsibilities may include (but are not limited to): · Partner with cross-functional IT organization and respective business partners across functional areas to develop the desired applications to support IT and business strategic plans · Responsible for providing production support to technical team · Support enterprise evaluations and analyses that adhere to established global IT project and requirements management methodologies, governance/check-point, release management, and tools standards for approved projects requiring IT solutions · React to changing business needs by modifying plans and adjusting deliverables efficiently • Contribute to email reporting and analysis · Utilize reporting tools to create reports and interpret data · Analyze performance vs. goals and share insights and recommendations · Modify and share go-forward strategies based on learnings and best practices · Monitor competitive landscape and report out to the broader team Requirements for the Internship: · High school diploma or GED · Must be enrolled in an accredited undergraduate program · Must be in junior year (rising senior at time of internship) · GPA of 3.0 or above · Proficiency in combining multiple sources, data manipulation and reporting in Microsoft Excel. · Demonstrated experience in developing software using Java, Python or Spark · Experience with Big Data is a big plus · Write SQL Queries to Analyze data and produce reports. · Demonstrated experience with data analysis, either on a school or research project, is a strong plus Additional Qualifications: · Specific college coursework in an area relevant to the internship, or participation in a specific career development program · Strong verbal and written communication skills; detail orientated and thorough · Ability to work well with diverse co-workers · Ability to proactively seek out new learning opportunities; intellectual curiosity with the proven ability to learn new information quickly • Team orientation • Ability to work independently • Flexibility to perform a variety of different types & levels of work • Ability to present strong, fact-based points of view • Ability to meet deadlines in a fast-paced, deadline-driven environment with changing priorities • Exceptional problem solving and organizational capabilities The Company's policy is to provide equal opportunity to all persons without regard to race, color, creed, religion, national origin, citizenship, sex, age, sexual orientation, gender identity or gender expression, marital status, Vietnam era/disabled veteran status, physical or mental disability, or other protected classes prohibited by applicable law. Company policy prohibits harassment of applicants or employees on the basis of any protected classes. The Company has established a continuing Affirmative Action Program to assure equal employment opportunity in all its policy decisions affecting recruitment, selection, assignment, promotion, training, and all other terms and conditions of employment. LOCATION1155 Battery St. San Francisco, CA, 94111FULL TIME/PART TIMEFull time