Data Analyst at Bogg Bag in Secaucus, New Jersey

Posted in Other 3 days ago.

Type: full-time





Job Description:

About the company: Founded by a mother of 2, our founder created the perfect bag, made of washable, durable materials offered in iconic, customizable colors. For over a decade, Bogg Bags have been spreading joy to millions in the happiest pops of color to help everyday feel like a day at the beach. Here at Bogg HQ, we are a small and mighty team looking to support our fast-growing business with a key role of eCommerce Operations Manager.

Job Overview: Reporting to the VP, Ecommerce and Digital Marketing, the Data Analyst is responsible for building out a reporting infrastructure and supporting all areas of the business with insights and business trends leveraging technology and automation.

Responsibilities and Duties:
  • Partner with business collaborators to understand their problems and the opportunities for data solutions.
  • Support DTC, Amazon, and wholesale channel owners on ad hoc, weekly, monthly, and quarterly analytics requests
  • Build a best in class reporting infrastructure and leverage automation and technology to streamline reporting across the company
  • Develop reporting on all activations and campaigns. Include results across channels, product categories, spend ranges and other metrics. Provide insights to revise for future campaigns.
  • Design, create, and maintain reports, dashboards, and data visualizations using reporting tools and software for company-wide consumption. Ensure reports are accurate, timely, and user-friendly.
  • Be the owner of tools and processes for managing data quality, maintenance, and governance, ensuring seamless upkeep and viability of data.
  • Collaborate with engineering and digital product development teams
  • Identify opportunities for process optimizations

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Basic Requirements:
  • 3-5 years of business intelligence analysis across full organization
  • B.A. Required
  • Ability to work in fast-paced, fast-growth environment
  • Experience with data analysis and presentations
  • Strong project management experience a must

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