Job Description:

FOPT (Fulfillment Optimization) Product Analytics is a team focused on understanding and optimizing user interactions with our Supply Chain Technology tools and technologies. The team  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

• Develop the strategic analytic agenda to unlock insights and guide the business.
• Collaborate closely with all facets of the organization including product management, engineering, and creative design to leverage data and analytics to drive decision making and accelerate profitable growth.
• Proactively monitor customer and field associate behavior with supply chain Tech products to identify potential opportunities, establish root causes, and resolve issues.
• Bring your expertise in A/B testing to identify, design, execute, and analyze thoughtful experiments to make high-impact changes.
• Leveraging your modeling skills, apply data science techniques to solve ambiguous problems.
• Communicate key insights and recommendations to cross-functional executive leaders across the organization.
• Become the subject matter expert for data, analytics, and testing for your area to ensure accurate and proper interpretation of core business metrics and consumer behavior.
• Perform deep-dive analysis, including the application of advanced analytical techniques, 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

• Bachelor’s in computer science, engineering, math, statistics, economics, or other quantitative discipline; Masters preferred.
• 2+ years’ work experience in relevant fields.
• Proficient knowledge of SQL and statistical programming language(s) such as Python, R, SAS.
• 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 Data Studio, Tableau, PowerBI); experience with Looker a plus.
• Experience working with large, unstructured data sets in a cloud environment (GCP, AWS, Azure)
• Experience applying data science techniques and partnering with business teams on agile model development.
• Prior experience proactively identifying areas where analytical efforts can produce a strong business value add and setting the analytics roadmap.
• Excellent communication and data presentation skills covering objectives, status, results, and recommendations.
• Demonstrated success influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.