Ecommerce Analyst

Sales & Marketing Doral, Florida


Position at Wild Fork Foods

The Ecommerce Analyst will work with the Ecommerce last mile and Growth strategy team to continue building and strengthening the business. Working with cross-functional teams such as finance, supply chain, technology, operations, real state and others you will provide actionable insights through data analytics, pre-post analysis, data mining, and financial models. The ideal candidate should be an independent solution-oriented performer, skilled and experienced with using data to drive business action. 

Minimum Qualifications
Bachelor's degree and 3+ years in relevant e-commerce business Analytics / last mile delivery or marketing analytics. A degree in a quantitative field like engineering / statistics / math / physics / computer science / information technology.

  • Minimum 3 years of work experience in a quantitative or analytical role within ecommerce, consumer or marketing analytics.
  • Experience with working on large multidimensional datasets
  • Growth mindset, humility and willingness to learn and work in teams
  • Google Analytics, QlikView, shopify, Other database
  • Proficiency in Excel and Power Point
  • Exposure to Customer Data Platforms/ wms / Heap/ OMS

Position Scope:

  • Partner with senior e-Comm leaders to identify and define key reporting metrics
  • Build metrics into both existing and new data systems and reporting platforms
  • Create standard and evolving reporting capabilities to support e-Comm team and broader organization by providing access and transparency to critical data
  • Analyze P&L and improve the cost structure of last mile delivery
  • Analyze and keep track of sales and business results
  • Support the development of executive dashboards to provide visibility into business performance and track progress on KPIs vs. goals;
  • Deliver data and analyses to stakeholders across the e-Commerce department that lead to actionable insights to support and drive both strategic and tactical decision making
  • Use data-driven decision-making to run tests on everything from delivery times to the selection of partners, supply and shipping management and new packaging solutions.