Conviértete en parte del equipo de NIKE, Inc.
NIKE, Inc. hace más que vestir a los mejores atletas del mundo. Es un lugar para explorar el potencial, borrar límites y ampliar los límites de lo que puede ser. La empresa busca personas que puedan crecer, pensar, soñar y crear. Su cultura prospera al abrazar la diversidad y recompensar la imaginación. La marca busca triunfadores, líderes y visionarios. En NIKE, Inc. se trata de que cada persona aporte habilidades y pasión a un juego desafiante y en constante evolución.
Lead Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns; generate reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts; integrate data from multiple sources to produce requested or required data elements; program and maintains report forms and formats, information dashboards, data generators, and other end-user information portals or resources; work with non-routine information and develops recommendations for ideas or services; develop and manage operational initiatives to deliver tactical results; provide direction and mentorship to teammates and communicate clearly to a broad audience; solve problems using limited information and implements solutions with the ability to foresee most future implications; take initiative to improve upon existing processes; advise others on complex matters using skills to understand complex work, such as in-depth knowledge or conceptual thinking; responsible for using predictive and prescriptive analytics to forecast consumer demand; develop new algorithms and improve existing approaches based on statistical econometric methods, machine learning techniques and solutions to forecast consumer demand and determine efficient level of investment in various stages of the supply chain; assess business requirements and constraints to make tradeoff recommendations between speed and accuracy of alternative solution approaches; identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources; facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria; support the adoption of analytic products through effective storytelling and collaboration with key partners; and share knowledge with others on the team; and continue to adapt or develop new methods and learn new software packages as available in the literature and recent publications. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or Business Analytics and 2 years of experience in the job offered or in a data-related occupation. Experience must include:
Machine learning
Statistical analysis
Mathematical modeling
Python programming language
R programming language
Amazon Web Services
Relational database management
Agile product development
Deep learning
Structured Query Language
Apply at www.jobs.nike.com (Job# R-51666)
#LI-DNI
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
NUESTRO PLAN DE CONTRATACIÓN
01 Postúlate
Nuestros equipos están formados por diversos conjuntos de habilidades, bases de conocimientos, contribuciones, ideas y antecedentes. Queremos que encuentres la opción perfecta: revisa las descripciones de los puestos, los departamentos y los equipos para descubrir la función ideal para ti.
02 Habla con un reclutador o haz una evaluación
Si te seleccionan para un puesto corporativo, un reclutador se pondrá en contacto contigo para iniciar tu proceso de entrevistas y será tu contacto principal durante todo el proceso. En el caso de los puestos de Retail, tendrás que realizar una evaluación interactiva que incluye una conversación y cuestionarios. Te tomará entre 10 y 20 minutos completarla. Independientemente del puesto, queremos conocerte a ti, a tu yo en su totalidad, así que comparte quién eres, qué te hace singular y qué deseas hacer.
03 Entrevista
Entra en esta fase con confianza: investiga, entiende lo que buscamos y prepárate para las preguntas que nos harán saber más sobre ti y tus antecedentes.