Senior Analyst

The Product Analytics team focuses on understanding and optimizing user interactions with our Supply Chain & Retail Technology  tools and products. Product Analytics is responsible for integrating analytics into the DNA of these growing tech teams, unlocking the insights that will guide the business in our quest for cost efficient, perfect orders, at scale. We bring a multidisciplinary blend of analytical experience, strong technical capability, business strategy and stakeholder management. Moreover, we’re a highly collaborative, supportive team that values learning, psychological safety and intentional career development.

What You'll Do

• Own the analyses and insights that inform the SCRT product roadmap, including driving outcomes within Fulfillment, Transportation, Service etc. 
• Collaborate with all facets of the organization including product management, engineering, and creative design to identify the most impactful ways for data and analytics to drive decision making.
• Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core metrics and user behavior.
• Perform deep-dive analysis, including the application of advanced analytical techniques and data science models, to solve some of the more critical and complex business problems.
• Develop data visualizations, including reports, dashboards, and analyses in Looker and GBQ to distribute data insights in an easily digestible manner.

What You'll Need

• Proficient knowledge of SQL and statistical programming language(s) such as Python.
• Expert at conducting quantitative analyses on large and complex data sets, including ability to explain techniques to stakeholders.
• Experience with experimental test design (e.g., A/B testing; Multivariate and Multi-Armed Bandit) and statistical analysis to drive business decision making.
• Experience with data visualization software (e.g. Google Looker Studio, Tableau, PowerBI); experience with Looker a plus.
• Experience applying data science techniques and partnering with business teams on agile model development.
• Strong written and verbal communication skills covering objectives, status, results, and recommendations.
• Bachelors in computer science, engineering, math, statistics, economics, Operations Research, Industrial engineering or other quantitative discipline; Masters preferred.
• 3+ years work experience in relevant field