Oferta pracy


Junior/E-commerce Analytics Strategist

Pathfinder 23

Company description: 

At Pathfinder 23 (PF23) we define our mission as #brandbuilding in #ecommerce.

We strive to combine art with science and use creative and technological potential to design and implement the most efficient #pathtopurchase scenarios.

Our team has unique experience in delivering complex E-commerce projects in EMEA, NA, and LATAM. #globalecomm

Our combined experience covers cooperation with over 50 #topbrands and over 300 e-retailers globally.

PF23 is part of Brand New Galaxy (BNG), an independent platform integrating smart business solutions from the areas of marketing and technology.

What is ahead of you:

Your main responsibility as a Junior/E-commerce Analytics Strategist will be extraction, preparation, and modeling of consumer, brand, and market data to produce actionable insights supporting top global companies’ E-commerce strategies.

You will couple your analytical mind with your E-commerce practical knowledge and business acumen to produce actionable recommendations and business-driving insights, that you will be able to present in simple, concise, and impactful articulations.

If you choose to accept the mission, you will:

  • Be in charge of analysis and insights creation for our Client’s, leveraging existing tools/data sets, and creating new data solutions to extract insights
  • Leverage our Business Intelligence team’s tools and capabilities (Power BI, Helium 10 keyword analysis, AI-simulated eye-tracking, etc.) to extract data sets to analyze and understand consumers shopping on top global & regional E-commerce platforms such as Amazon,, or Zalando, as well as local retailers
  • Analyze various types of E-commerce qualitative and quantitative data (Product listing, Ratings & Reviews data, Keyword data, Sales and Basket Analysis…) to unlock insights and recommendations
  • Handle and project manage external data providers or analytics partners to get access to more insights
  • Extract, or generate data (e.g. through web scraping), prepare datasets, and visualize the results
  • Design, develop, implement and automatize data processing pipeline and insight creation
  • Package those business-driving insights in an actionable and elegant way to present them to Clients or to fuel the work of Content Strategy and Strategy Planning teams:
  • Communicate the actionable insights in a simple, concise, and impactful articulation or presentation
  • Translate complex data-sets into elegant and compelling storytelling 

What you’ll need to succeed:


  • Experience in data analytics: the ability to properly interpret, visualize and present data
  • Outstanding Excel skills
  • At ease with Power BI type tools and Basic Web scraping and SEO knowledge (for Regular position)
  • Broad E-commerce related experience and knowledge to build some pragmatism in recommendations
  • Ability to make complex things simple
  • Communication and presentation skills
  • Business-acumen and practical mind
  • Curiosity and ability to learn quickly about non-standard data sources & uses
  • Digital native- knowledge of what is happening in the E-commerce world in terms of trends and possibilities
  • Creative and innovative approach towards challenges
  • Fluent English 

Desired but not critical:

  • Programming experience in Python (or R)
  • Advanced Scraping and/or SEO experience
  • B.A or MSc in mathematics, econometrics/statistics, computer science or equivalent
  • Experience in statistical analysis and Machine Learning techniques
  • International Experience
  • Experience in statistical analysis and Machine Learning techniques 

Our hiring process:

  • Phone interview with our recruitment team to match your expectations vs. potential role → ask about everything!
  • Online Interview: meet the team :),
  • Recruitment Task to prepare and present during 2nd Online Interview (Optionally)
  • Welcome on board! 

We would love to get to know you.

Apply and send us a few words about you – we do love to read about it!

Thank you and see you!

Best regards,
Recruitment Team from Man on the Moon ;)