Data Analyst

Decentral Games is a DAO focused on building NFT-based games. Up until now, crypto innovation has been heavily focused on trading and financial products; DG flips that by creating games that are not only fun and exciting, but also allows its players to own and control its future.

As a remote-first web3 company, we have a working environment that is playful, bold, and fast-focused (we don’t love unnecessary meetings). Together, we’re a team of entrepreneurs, futurists, artists, nerds, and gamers. Our motto is fun, hard working, and casual — you may even encounter a coworker known only as “Duck” or “Spicy Prawn”. That’s the metaverse for you!

Here at DG, you’ll be joining a team of super-talents building products in and out of the metaverse — and we’re only just getting started.

About the Role:

We recently launched our beta version of ICE Poker and it has quickly become the most popular game within our community. In just three months, we have seen our monthly revenue grow 10x, our discord community grow from 8k to 45k, and our ICE Poker venues are now the most popular destinations in the open metaverse.

We are looking for an experienced Data Analyst to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.

To succeed in this Data Analyst position, you should have strong analytical skills and the ability to combine data from different sources. Data Analyst skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities:

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

Requirements:

• Previous experience as a Data Analyst or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Java and Python)
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus