Weee! is looking to solve the problem of defining strategy, guiding operations, and KPIs, and impacting how they build experiences and products by analyzing merchandising, pricing/promotion finance/accounting, and user behavioral data.
Requirements
- Expert in data analysis, visualization, and communication, with prior full-time work experience, strongly preferred
- Experience creating dashboards/visualizations using, e.g., Tableau (or similar)
- Expertise in SQL, and comfort with Python
- Experience managing data pipelines
- Experience with Retail/Ecommerce; especially merchandising/operation analytics
- Experience with Finance/Accounting Analytics
- Experience with building systematic solutions
Responsibilities
- Build dashboards, self-service tools including LLM agents, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making
- Work closely with the pricing team to test and measure different pricing/promotion strategies, identify issues, trends, user behavior changes
- Conduct end-to-end analyses, including data gathering from large and complex data sets, processing, and analysis employing advanced statistical and ML methods, with ongoing deliverables to improve user experience
- Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating metrics and results to stakeholders
- Partner with Data Engineering to craft our data infrastructure investments in support of BI needs and ensure the proper tracking and quality of the data
Other
- MS in Math, Statistics, or another closely-related quantitative field
- 4+ years of Data Analysis experience in preferably e-commerce or customer-facing business
- Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision
- Strong communication skills, and ability to work with multiple stakeholders
- Be a self-starter, detail-oriented, eager to learn, and motivated by a passion for developing the best possible solutions to problems
