Weee! is looking to solve business and technical problems related to pricing, marketing, finance, merchandising, and user behavioral data to help define strategy, guide operations, and KPIs.
Requirements
- MS in Math, Statistics, or another closely-related quantitative field
- 8+ years of Data Analysis experience in data science or analytics with a proven record of applying advanced analytical methods to drive growth, preferably in e-commerce or customer-facing industry
- Demonstrates proficiency in statistical modeling, machine learning and deep learning modeling
- Advanced skills in SQL, Python, R and other analytical tools
- Experience managing data pipelines
- Experience with Retail/Ecommerce; especially merchandising/operation analytics
- Experience with building systematic solutions
Responsibilities
- Build dashboards, self-service tools, and ad hoc reports to analyze and present data associated with customer experience, business operations, and strategic decision making
- Work closely with the Product team to test, craft, and measure product experiences and identify trends and opportunities
- 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
- Architect scalable dashboards, self-serve tools and pipelines that enable all levels of the business to access trusted, consistent data.
- Create visualizations using, e.g., Tableau, PowerBI (or similar BI tools) to communicate insights
Other
- MS in Math, Statistics, or another closely-related quantitative field
- 8+ years of Data Analysis experience
- Ability to work in a fast-paced start-up environment and deliver excellent results, requiring minimal supervision.
- Able to work with multiple stakeholders and cross collaborate with different business units to quickly understand the business needs
- Raise the analytics bar by mentoring other Data Scientists and Analysts, establishing best practices in experimentation, modeling and story telling.
