The Platform
Decentraland is the world’s first fully decentralized, Ethereum blockchain-based virtual social world, built, governed and owned by its users. It’s a truly unique ecosystem with its own decentralized autonomous organization, currency, marketplace and system of property – and it’s growing fast! New creations are added daily by creators who use both open source and proprietary developer tools to make games, puzzles, scenes, artworks – whatever their imaginations allow. Via their personal avatars, users attend live music events, conferences, exhibitions, dance parties and other experiences every day of the year. What began as a proof-of-concept for assigning ownership of digital real estate to users of a blockchain is now an immersive, ever-expanding and richly detailed metaverse, where the world is what you make it.
Check it out at: https://decentraland.org/
The Challenge:
As an Data Analytics team member, you'll be a vital part of the team, focusing on enhancing the data driven decision of the product and content teams. You will wear multiple hats, from diving into raw data and identifying opportunities, to helping shape direction, coordinate data projects and produce data assets such as ad hoc analysis, standardized reports and metrics and foster a data driven culture.
Your responsibilities include:
Data Transformation and Modeling:
• Use DBT to transform, clean, and model raw data into structured datasets that can be readily used for analysis and reporting.
• Develop and maintain data models, ensuring data accuracy, consistency, and reliability.
Data Quality and Governance:
• Implement data quality checks and validation processes to ensure the accuracy and integrity of data.
• Collaborate with data stakeholders to establish and enforce data governance best practices.
Data Analytics:
• Design and Define metrics and KPIs for new products or features side by side with our product team and stakeholders
• Be an Strategic thinker and find opportunities of improvement based on data.
• Do advanced analytics and shape data products to empower our users experiences.
• Develop Data solutions with high end technologies based on behavioral analytics
• Coordinate with internal stakeholders and Business Analysts to determine business data reporting and analysis requirements.
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