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Data Team Lead

Product Management
Intermediate
To apply, write an email to cgtrader.6A.626@applynow.io

CGTrader is the world’s leading provider of 3D content. More than 370,000 customers globally, including more than 150 Fortune 500 enterprises, trust CGTrader to source and manage three-dimensional content. We have two core product lines: CGTrader Stock Marketplace that unites over 3.9M professional 3D designers, and CGTrader Arsenal, our end-to-end 3D product visualization platform, that empowers global e-commerce leaders to generate amazing product visuals and AR experiences using 3D models.

We are looking for an experienced data analyst/data scientist to lead the data analytics team. This team is a key part of CGtrader helping make data driven decisions in engineering, product, operations, marketing and sales. Your work will focus most on managing your team, improving our data structure and creating new frameworks to store and analyse data and performing some of the most important analysis yourself.

The 360 View of Your Challenge:

  • Lead a team of data analysts and data scientists to enable company to make the right data based decisions
  • Help your team members grow
  • Define and manage data infrastructure in the company. Focus on data quality and accessibility
  • Define the processes and goals for your area
  • Consult and work with ML/AI and product teams
  • Be an example by taking on most complex projects and delivering highest quality results

You’ll fit right in if you have...

  • Minimum 5+ years experience as a Data Scientist or Data Analyst;
  • Minimum 2+ years of experience managing people and helping them to achieve their best results;
  • Advanced SQL knowledge and fluent in Python;
  • Highly business-result-oriented and comfortable with iterative processes;
  • A strong communicator who can present results in an informative and persuasive manner;
  • Have a degree in statistics, mathematics, econometrics, or a similar field;
  • Excellent at communicating in written and spoken English;
  • Experience in a tech company is an advantage;
  • Experience in applying machine learning methods is an advantage.

Our perks go beyond great compensation:

  • 5 additional vacation days during summer;
  • Work from anywhere - we only ask you to be reachable and connected;
  • Annual education budget. Dedicated learning budget for courses, conferences and other learning opportunities;
  • Work from home equipment budget: set up your home office for productivity and convenience with a dedicated WFH budget;
  • Private health insurance, including well-being programs;
  • Flexible working hours - manage your time as you see fit;
  • Social events and team activities: team lunches, happy hours, company retreats, group activities to build better relationships within the team.

We offer a monthly base salary from 3000 EUR to 3700 EUR net.


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