Data Scientist e-Commerce Associate
Big data and analytics

Who we are

We are Metyis, a forward-thinking, global company that collaborates with business partners and clients to create and implement the capacities and capabilities required to improve future performance. We operate across a wide range of industries, and with our embedded partnership model we commit to driving sustainable growth for industry-leading organisations, elevating their potential with a long-term vision.

At Metyis, we develop integrated solutions that enable growth by working within our business partners’ organisations with diverse and multidisciplinary teams. This collaborative environment allows Metyis to build strategies and execute them through an ecosystem that combines Big Data solutions, Digital Commerce solutions, Marketing & Design solutions, and Advisory services.

Our teams are set up so that you have plenty of room to build bigger and bolder ideas by speaking your mind and being creative with your knowledge. Imagine the things you could achieve with a multidisciplinary team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

What we offer

  • Interact with senior stakeholders at our clients on regular basis, to drive their business towards impactful change.
  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
  • Become part of a fast-growing international and diverse team.

What you will do

  • Collect, track, clean and analyse e-commerce data, to generate insights based on a deep understanding of the ecommerce business. 
  • Create views on how to increase reach, engagement, buy and advocacy throughout the journey.
  • Translate gathered insights into engaging, actionable and easy-to-digest insights presentations including visualisation.
  • Solve problems, define scope, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
  • Apply results to architect solutions with tech team.
  • Thrive in fast-paced environment, adapt quickly and take ownership of your work.

What you’ll bring

  • 2+ years of professional work experience in the e-commerce / analytics domain.
  • Solid skills with project management, prioritization and time management.
  • Strong hands-on experience in Python and SQL.
  • Basic experience with analytics tools and disciplines.
  • Basic experience with databases and SQL, visualization techniques and data analysis tools (ex: Power BI or Tableau).
  • Business level expertise in English is a must.

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