The Senior Data Analyst is responsible for the data and analytics that drives reporting, insights, and intelligence around experience and performance analytics impact - guiding the continued reporting and optimization of our business. The primary responsibility of this position is to be the day-to-day lead on experience analytics performance, using thoughtful analysis to tackle core projects, answer questions and make recommendations. The ideal candidate is a self-starter, unrelentingly curious, passionate about data and technology, values insightful reporting, and can effectively understand, illustrate, and transform data into clearly communicated insights. Minimum Requirements: 4+ years of experience working with data analytics and/or business analytics. Strong proficiency with Python including knowledge and understanding of the following packages: Pandas, NumPy and experience with Matplotlib and DataPrep a plus. Strong understanding of utilizing Python to connect to external data sources and publish final data outputs to a centralized location. Intermediate proficiency with Tableau including the ability to establish primary data sources, build detailed/robust visualizations and centralize within a comprehensive dashboard view. Understanding of Tableau calculation methodology (i.e. fixed level calculations, creating parameters/sets etc..) is strongly preferred. Solid foundations in data science fundamentals, particularly OO, data structures, and algorithms. Proven experience translating data into insights, working directly with databases, data cleansing, manipulation, and visualization. Driven by innovation, curiosity, and an appreciation of technology. Unrelenting curiosity and the ability to provide insight on complex business problems by autonomously managing cross-team projects. Excited about hard problems and creating next-gen solutions. Academic background in data analytics, data science, marketing analytics, finance, economics, mathematics, or related discipline. #J-18808-Ljbffr