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.
WHO WE ARE LOOKING FOR
We’re looking for a Senior Product Analyst to join our Nike Enterprise Data & AI team to work within our squads to develop and deliver data, analytical and AI/ML products that help Nike bring inspiration and innovation to every athlete* in the world. We own the products we build and support.
In this role, you will leverage your expertise in retail supply chain to develop and implement data-driven solutions that optimize Nike's end-to-end supply chain operations. You will analyze inventory management processes, demand forecasting models, and order fulfillment systems to identify opportunities for improvement and efficiency gains. Working closely with business partners and engineering teams, you will translate complex supply chain challenges into actionable analytical insights that drive better decision-making and operational excellence.
Your ability to navigate and create clarity within Nike's complex ecosystem of data sources, systems, and stakeholders will be crucial in delivering solutions that drive meaningful business impact and enable informed decision-making across the supply chain.
WHAT YOU WILL WORK ON
If this is you, you will be working on technical solutions that serve other engineering, data, or business facing teams. Our technical solutions serve the end-to-end breadth of Nike, from building foundational data capabilities, creating analytical products to help the Nike business make better decisions to optimizing our supply chain enabling our business to run as efficiently as possible.
We run agile squads where transparency and trust are key, and collectively bring a culture of engineering excellence and continuous improvement to the organization.
As a Senior Product Analyst, applying your domain knowledge you will be tasked with understanding data analysis and integration requirements to guide solution design and architecture to meet these needs. You will support product teams in their product decisions using quantitative data to inform the next steps. You will coach and mentor same role junior colleagues.
WHO YOU WILL WORK WITH
As part agile scrum team, working with the Product Manager, Scrum Lead and other team members that drive to deliver innovative data solutions. Advising product and business owners on specific technology-related aspects required to deliver solutions correctly.
You will partner with the Product Manager to envision future use cases for our products and assist in the roadmap to fulfill those use cases. Working with your business partners to understand requirements for data use, analysis, and quality, you will help translate this into a product backlog for your squad.
Working with Engineers and other Product Analysts within your squad and cross domain squads, you will identify and aggregate data from internal and external sources, perform data mining and modelling, and identify patterns and trends in data sets. A strong relationship with Data Governance will to ensure data stewardship and quality for your products.
You will be reporting into engineering leadership, who will guide you to grow and build your career path.
WHAT YOU BRING
Proven track record in Product Analytics role within a professional environment turning data into insights
Experience in Requirement Gathering with business as well as technical stakeholders
Experience with Data Modelling/Data Architectures (e.g. creating Source-To-Target Mappings) is preferred
- Perform functional analysis for defining technical requirements for engineering team
Strong analytical and communication skills with the ability to convey technical concepts in plain language
Experience in working with SQL , NoSQL and RDBMS with Enterprise or Big Data
Knowledge of data warehouse architectures and best practices
Experience with Visualization tools such as Cognos, Tableau
Experience in writing and maintaining User & Technical Documentation (e.g. in Confluence)
Ability to solve complex problems and take a new perspective on existing solutions is preferred
This job will expire on the 31st of January
Unfortunately, there's no relocation provided for this role
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.
