Job Location: Bangalore
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.
ENTERPRISE DATA & ANALYTICS (ED&A) APLA is a capability driven organization, unblocking better decisions, more responsive operations and strengthening unbreakable relation with APLA CONSUMERS.
ED&A APLA team ensures trusted data is available and consistent, capture high quality consumer data, builds analytical products and capabilities and enables fast and seamless integration across Nike’s APLA Technology solution.
Our team purposefully innovate solutions needed to help navigate Nike’s leading position in the constantly evolving marketplace.
WHO ARE WE LOOKING FOR
We are seeking a high performing Senior Data Analyst to play a critical role in the development of Nike’s Enterprise Data & Analytics APLA capabilities. You will be part of a team of engineers with a focus on the development of new solutions and capabilities for various business functions across NIKE.
Now, more than ever, Technology needs to respond quickly to turn market disruptions into opportunities for our 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.
Candidate should have:
- Strong sense of OWNERSHIP,
- Bias for ACTION
- INNOVATIVE mindset
- TECHNOLOGY acumen
- COURAGEOUS
WHAT YOU WILL WORK ON
- Build and deploy forecasts and report business key performance indicators (KPIs) for senior leadership and partner with the stakeholders to deliver relevant analysis and insights.
- 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
- 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 WILL YOU WORK WITH
You will be working with diverse team of smart, intelligent and creative people. At Nike we embrace and celebrate unique talent and experience of our teammates.
In this role you’ll be working closely with passionate and driven Engineering Manager, Product Management team, Architects, Engineers, Data Analysts, Internal partners and other departments. They will span across various groups including global ED&A, Global Architecure and Product Management organization. You will be in contact with a wide range of great people. One of Nike’s maxims is “Win as a Team”. In all interactions, you will find success in teamwork, a positive attitude, and hard work
- Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
- 5+ 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
- 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
- Experience with data transformation and BI tools
- Experience with retail or ecommerce domains is a plus
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.
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