Who: Ritani
Position: E-commerce Data Analyst
Where: Seattle
What: Ritani is looking for an E-commerce Data Analyst. We’re looking for someone with the curiosity and intellectual capacity to examine complex issues with ambiguous or unknown variables, gather and synthesize the data necessary to enable decision-making and then drive/manage projects to improve the processes. With a focus on marketing and the on-site experience, help the business in deriving strategic insights, communicating those insights, and executing strategy aimed at driving sustainable growth. The analyst relies heavily on data to find areas of opportunity, and is comfortable communicating with and presenting to all layers in the organization, from entry-level to upper management.
Responsibilities:
Identify, model, and evaluate opportunities to improve customer acquisition and retention
Understand customer behavior and use that to inform how our platform can deliver the best experience to each customer segment
Use customer centric data analysis, data visualization, segmentation and predictive modeling methods to provide insights and drive decision-making
Perform ad-hoc data analysis to answer business questions and guide strategy
Identify key metrics on which to evaluate marketing performance and build out reports and dashboards to surface and monitor business-critical KPIs and trends
Partner with other business intelligence and technical analysts to improve data infrastructure, maximizing data integrity and to create sustainable and empowering reporting solutions
Requirements:
5+ Years working with data analysis, or customer and marketing analytics
Advanced user of Excel (pivot tables, lookups, data modeling and trending, lookups, advanced macros)
Working knowledge of Google Sheets and methods to extract and integrate Google Analytics data
Proficient in utilizing statistical methods to test hypothesis, develop insights and make recommendations, experience with software such as R desirable
Ability to multitask, prioritize and manage multiple projects at once
Ability to translate and interpret business management questions into data requirements and how to communicate and explain answers using a variety of output methods
Proficient in data mining software/languages such as SQL or equivalent
Advanced capabilities in extracting and manipulating large data sets
Bachelor’s degree in quantitative field
