Nike | Hiring | Lead Data Analyst, ED&A – APLA | BigDataKB.com | 1/11/2022

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Nike

Bangalore

Consumer Products Manufacturing

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

Now, more than ever, Technology needs to respond quickly to turn market disruptions into opportunities for our world-class brand. To achieve this, we must continue to develop our Enterprise Analytics, Data Science & Machine Learning capabilities and team to ensure we’re maximizing the power of the Nike enterprise in the analytics/machine learning space and managing data as a competitive advantage.

If you’re ready to innovate and be a driving force for building solutions Enterprise Data and Analytics organization, come join us now! You will be part of an organization that is revolutionizing Nike technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Nike on its journey to 2022 and beyond.

WHO WE ARE LOOKING FOR

  • As the Lead Data Analyst for Enterprise Data & Analytics team, you’ll be responsible for delivering Data Foundations, BI & Advanced Analytics solutions and capability to enterprise teams and business users.
  • Primary role of LDA would be to help demystify data for Product/Engineering and help provide the context that is essential to build a high-fidelity data solution for Nike.
  • A Lead Data Analyst comes with strong hands-on expertise in working with large amounts of data and being able to navigate the complexity of bringing structure and method to understanding functional use case for the same. This in turn would help inform Product & Engineering on the course of action to develop sound data products.

WHAT YOU WILL WORK ON

  • Understand product vision & roadmap and work closely with Technical Product Managers to help solicit user inputs that would help define requirements clearly to Engineering and would further aid in development
  • Discover and analyze data sources, create meaningful data summaries & relationship diagrams, eventually leading up to building a Source to Target mapping, that would act as precursor to Engineering development
  • Work closely with Information & Enterprise Architecture, to help define data models & inform solution design in conjunction with Engineering
  • Produce critical insights into data that teams can then leverage to maximize the use of data products, as well as increase eventual adoption
  • Partner with business and capability teams as well as stakeholders to understand the business processes that generate and/or consumer data. Understand the process workflow and where it fits into the broader capability landscape. Use this subject matter expertise in partnership with engineers to define data solutions
  • Write, drive, and prioritize thoughtful and detailed functional specifications for real-time operational and performance analytics using opensource streaming technologies
  • Deploy reporting and analytics within a focused area of the Nike business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals
  • Deploy quantitative research, casual inference and predictive models to understand and optimize drivers of growth and performance
  • Project manage and deliver large analytics projects with multiple business stakeholders on firm deadlines
  • Utilize expertise with business partners to collaborate with key partners to understand requirements, drive knowledge into action and support data driven decision making
  • Document and communicate systems/analytics changes to the business, translating complex functionality into business relevant language.
  • Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions

WHO YOU WILL WORK WITH

In this role, you will collaborate with product and engineering teams across Enterprise Data & Analytics. You will work closely with stakeholder groups across the geography to identify and solve their business problems.

WHAT YOU BRING

  • We’re looking for someone who has a proven track record of being able to navigate through complex product landscape and having delivered successful data products. To that effect, we are looking for someone with these skills:
  • Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
  • 8+ years of relevant analytical experiences that can translate into defining strategic vision into requirements and working with the best engineers, product managers, and data scientists
  • Prior experience working with complex data landscape, preferably in an enterprise setting
  • Ability to conduct data analysis, develop and test hypothesis and deliver insights with minimal supervision
  • Experience identifying and define KPI’s and cohorts for apps, traffic, user retention
  • Exceptional SQL skills
  • Experience with modern visualization tool stack, such as: Kibana, Tableau, Power BI, d3js
  • Hands-on experience working with streaming data sources such as Kafka, Kinesis
  • Experience with open-source, big data and cloud infrastructure such as AWS
  • Experience writing detailed technical specifications describing requirements for data movement, transformation, storage, quality checks, and access latency
  • Incredible attention to detail, with structured problem-solving approach
  • Excellent communications skills (written and verbal)
  • Experience with clickstream data
  • Experience with agile development methodologies
  • High proficiency in data transformation and BI tools
  • Experience with retail or ecommerce domains is preferred

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Apply Here

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