google.com, pub-3560798641789425, DIRECT, f08c47fec0942fa0 Product/Data Analyst at Pangaea

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Product/Data Analyst at Pangaea

 

Product  Analyst vacancy in lagos

Pangaea collects and analyzes consumer purchase and behavioral data to create premium, international-first brands for the world’s fastest growing e-commerce markets. Our brands are built on a proprietary internationalization platform with competencies across warehousing/logistics, globally distributed performance creative, compliance and payments. We are backed by Google's AI fund Gradient Ventures.


This role would be supporting our brands Lumin (luminskin.com) and Meridian (meridiangrooming.com), as well future brands that have yet to be announced.


Job Title: Product/ Data Analyst

Location:  Lagos Nigeria

The Role

As a Product Analyst you’ll work across the company to advance our growth, operations, and strategy. You’ll spend time working with stakeholders across the company to assess new product launches, prototype new features, identify growth opportunities, and drive the future of Pangaea. You’ll also develop tools to level up our analytics capabilities, to enable both analysts and stakeholders to better self-serve their data needs. You’ll be joining on the ground floor of a high growth startup with huge potential for growth and advancement.

Responsibilities
  • Design, develop, test, implement, and support an analytical data infrastructure
  • Be responsible for the full life cycle of development, from requirements gathering through ETL coding and report/dashboard design and creation
  • Own analysis of brand launches, product releases, and KPIs
  • Drive a deeper understanding of the business through exploratory analyses
  • Build new tools to enable greater self-sufficiency among analysts and stakeholders
  • Uncover trends and insights to drive future growth opportunities


Requirements
  • Strong quantitative background (quantitative degree a plus)
  • Minimum 2 years of related analytical experience
  • Strong SQL skills and proficiency in at least one programming language; proficiency in R or Python a plus
  • Advanced knowledge of data design and data warehousing
  • Experience developing hypotheses and communicating insights

Benefits
  • Medical Insurance
  • Unlimited flexible time off
  • Home office stipend
  • Free company products every month

How to Apply

Interested applicants should apply here
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