At Roku, Senior Analyst, Data Science leverage Big Data to generate insights that fuel Roku's most significant business decisions. Data Analysts use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Data Analysts are Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Data Analysts do not take direction from business owners and execute on ad-hoc questions, they proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Data Analyst role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.
Roku is looking for a Data Analyst to play an instrumental role in helping Roku to continue its success by providing insightful segmentation, analysis of platform and behavioral trends, and A|B testing. A Data Analyst need not only have strong technical abilities to retrieve, manipulate, analyze, and visualize data but also excellent communication capabilities. One of the key requirements of the role is to be able to Collaborate with stakeholders and satisfies immediate business needs
Use Roku's Big Data to perform a thorough analysis
Design and evaluate A/B experiments.
Develop data visualizations that illustrate complex platform phenomena using Tableau, looker, etc.
Partner with leadership, engineers, product managers and data engineers to understand data needs
Use creativity to find proxies where verbatim data or measurement is unavailable
Identify new applications for the myriad logged events in Roku's immense data catalog
4-7 years of relevant experience as a data analyst in technology, e-commerce, finance, or ad-tech
Excellent command of SQL and experience working with Big Data
Experience coding in R or Python
Experience with data visualization platform like Tableau, Looker, etc
Statistics knowledge: A/B testing, statistical inference, interpretation of data, etc.
Strong communication skills
Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking
Academic background in math, physics, computer science, economics