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eCommerce Analyst at Deckers Consumer Direct Corporation in Goleta, California

Posted in General Business 30+ days ago.

This job brought to you by eQuest

Type: Full-Time

Job Description:

The DTC Commercial & Operations Analyst will be a key member on the global Direct to Consumer team, providing actionable insights and data driven recommendations that will help grow eCommerce revenues & profit as we well Retail Store revenues & profits.


  • Manages weekly reporting and ad hoc DTC channel analysis to help drive short term and long term data driven strategies to achieve revenue and profit goals.

  • Produces insights focused deep dive reports by leveraging various data sources and analysis tools such as Google Analytics, Adobe Analytics, SQL, R, Redshift & Python.

  • Provides operational forecasting, reporting, and analytics for,,, and Deckers operated retail stores.

  • Establish success metrics or benchmarks to better evaluate financial performance based on KPIs, such as revenue, conversion, freight cost, and product margin.

  • Produce dashboards and/or presentations that share insights with all levels of the organization

  • Collaborate with cross functional teams by providing data driven strategic guidance to build seasonal (6-12 months out) and in-season GoTo Market strategies.

  • Collaborates with User Experience teams to identify and evaluate A/B testing.

  • Proactively suggest new projects or initiatives to increase revenue, reduce costs, and improve profitability.

  • Contribute to the overall success of Deckers by actively participating as part of the broader Direct to Consumer team to propose ideas to help the company achieve its goals.

  • Manage 3rd party data providers to provide accurate and actionable data and insights


Bachelor’s degree in Business, Mathematics, or Technology fields preferred

  • 1-3 years of analytics, financial analyst or cost accounting experience

  • Knowledge of statistics and their business applications

  • Highly analytical and metrics-driven

  • Ability to interpret data and use to drive strategic business decisions

  • Understand Data Wrangling

  • Understand PIG/HIVE

  • Proficient with Google Analytics, Adobe Analytics, Excel, SQL, R, Redshift, Python,Oracle, Merkle, SessionCam, Google Data Studio (for GA 360), etc

  • Experience building data models to support future plans around machine learning a plus

  • Strong business acumen

  • Ability to prioritize responsibilities in line with business objectives

  • Ability to influence, educate, work collaboratively, and gain consensus amongst peers, key stakeholders, and leadership

  • Ability to communicate effectively with internal colleagues and external business partners

  • Excellent time management, organizational, planning and project management skills.

  • Must be flexible, collaborative, and has excellent relationship building skills