OVERVIEW

The ideal candidate can leverage a combination of deep analytics skills and business acumen to identify, extract, and visualize opportunities across all areas of fulfillment, which can then be used to drive meaningful improvements across various segments of the company. Additionally, the ideal candidate possesses excellent time-management skills, the ability to communicate & present information effectively to business partners at all levels, and a deep-seated passion for continuous improvement, data integrity, and scalable solutions.

ABOUT THE JOB

• Own data analysis and visualization as it relates to all areas of fulfillment; availability, order quality, profitability, efficiency, shopper and retailer performance, etc, as well as the identification of potential root causes contributing to potential change(s) in metrics
• Regularly communicate associated outcomes and insights to various stakeholders at all levels, including senior management to help guide strategic decisions for improvement
• Develop dashboards, analytical frameworks, and detailed reporting models that provide reliable, easily-digestible insights to key stakeholders to help guide decisions around process, policy, systems, and service models
• Develop a deep understanding of how each area of the business impacts the other, as well as the underlying correlations relating to key company metrics
• Create automated reporting to ensure operations leaders are informed of variations and opportunities across geographies and teams
• Analyze unstructured behavioral data to discover operational events and activities impacting fulfillment quality and customer, shopper, and retailer experience
• Fundamentally change the way our teams across North America think about exceptional performance and customer experiences through innovative, value-added data approaches and insights
• Regularly collaborate with other analysts, subject matter experts, and decision-makers to develop data-driven policies and models to improve overall fulfillment performance

ABOUT YOU

• Minimum 5-7 years in analytics, business intelligence/operations, investment banking, or related environment
• Ability to write complex and performant queries in your dialect of SQL to extract data from our data warehouse (Hive or Presto experience a plus)
• Experience with R, Python, and/or Julia (fluency in at least one language preferred)
• Experience with analytical visualization tools such as Tableau, Looker, Periscope or similar tools
• Extremely strong verbal and written communication skills, including the ability to synthesize complex topics and create compelling narratives for various audiences
• Excellent teamwork skills and desire to help others learn
• High level of accountability and ownership – driven and focused self-starter
• Strategic mindset – the ability to think ahead of where the company is at now
• Understanding of A/B testing and other forms of statistical analysis using statistical packages similar to R, SAS, or Pandas 

Bonus points:

• Experience in Supply Chain or fulfillment-related field
• Experience in advanced reporting tools such as R Shiny, Dash, or Bokeh
• Advanced degree in statistics or other quantitative fields
• Data modeling, ETL and data pipeline development experience

*In your application, please describe the most impactful data project you have been a part of. Describe the problem, outcome/impact, and your role in the project.