Sr Data Analyst (Contractual Role) | Leading Fortune 100 Global Company | 5-8 years (BB-646D4)

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Senior Data Analyst, ED&A ICC
Leading Fortune 100 Global Company 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 Leading Fortune 100 Global Company, 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 & Machine Learning capabilities and team to ensure we’re maximizing the power of the Leading Fortune 100 Global Company 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 Leading Fortune 100 Global Company technology platforms and architecting a data and analytics landscape that is simplified, modern, flexible and will ultimately enable Leading Fortune 100 Global Company on its journey to 2020 and beyond.
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 Leading Fortune 100 Global Company 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
Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
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

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