Data Analyst Leading Fortune 100 Global Company Years T881
Data Analyst, ED and A ICC
Nike does more than outfit the world\'s best athletes. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. We\'re looking for people who can grow, think, dream and create. We thrive in a culture that embraces diversity and rewards imagination. We seek achievers, leaders and visionaries. At Nike, it\'s about bringing what you have to a challenging and constantly evolving game.
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 and 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 2020 and beyond.
Responsibilities:
- 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 open source 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 and system), identify root cause, and proactively recommend sustainable corrective actions.
Skills:
- Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields.
- 3 To 7 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.