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Animoca Brands Limited
Head of Blockchain Data Analytics
5 months ago | 422 views | Be the first one to apply

Head of Blockchain Data Analytics

Full-time
United Kingdom

About the company

Animoca Brands, a Deloitte Tech Fast winner and ranked in the Financial Times list of High Growth Companies Asia-Pacific 2021, is a leader in digital entertainment, blockchain, and gamification that is working to advance digital property rights. It develops and publishes a broad portfolio of products including the REVV token and SAND token; original games including The Sandbox, Crazy Kings, and Crazy Defense Heroes; and products utilizing popular intellectual properties including Disney, WWE, Snoop Dogg, The Walking Dead, Power Rangers, MotoGP™, and Formula E. The company has multiple subsidiaries, including The Sandbox, Blowfish Studios, Quidd, GAMEE, nWay, Pixowl, Forj, Lympo, Grease Monkey Games, and Eden Games. Animoca Brands has a growing portfolio of more than 200 investments in NFT-related companies and decentralized projects that are contributing to building the open metaverse, including Axie Infinity, OpenSea, Dapper Labs (NBA Top Shot), Yield Guild Games, Harmony, Alien Worlds, Star Atlas, and others. For more information visit www.animocabrands.com or follow on Twitter or Facebook.

Job Summary

Responsibilities:

📍Strategy and Planning: 📍 Develop and implement a data analytics strategy specific to blockchain on-chain data. 📍Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics to track and measure blockchain performance. 📍Identify opportunities to leverage on-chain data to improve decision-making processes and drive business growth.

Team Leadership:

📍Lead a team of data analysts and researchers, providing guidance, mentorship, and support in their professional development. 📍Foster a collaborative and innovative environment to encourage the team's productivity and creativity. 📍Establish clear goals, objectives, and performance metrics for the data analytics team.

Blockchain Data Analysis:

📍- Utilise e data analysis techniques to extract, clean, and interpret on-chain data from various blockchain networks. 📍Develop methodologies and models to identify patterns, trends, and anomalies in the blockchain data. 📍Conduct comprehensive research and analysis of blockchain data to derive actionable insights for decision-making.

Insights and Reporting:

📍Generate regular reports and visualisations to communicate key findings and insights to stakeholders. 📍Present complex analytical findings and recommendations in a clear and concise manner to both technical and non-technical audiences. 📍Collaborate with stakeholders to define and track relevant metrics to measure the success of blockchain initiatives. 📍 Continuous Improvement: 📍Stay up-to-date with the latest trends, tools, and techniques in blockchain technology and data analytics. 📍Evaluate and implement innovative technologies and methodologies to enhance data analysis capabilities and efficiency. 📍Drive process improvements and standardisation to ensure accuracy, reliability, and scalability of data analytics practices.

Requirements / Skill Sets:

📍 Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. 📍 Extensive experience in data analytics, with a specific focus on analyzing on-chain data in blockchain networks. 📍Strong knowledge of blockchain technology, including various protocols, smart contracts, and consensus mechanisms. 📍 Proficiency in data analysis tools and programming languages such as Python, R, SQL, and visualization tools (e.g., Tableau, Power BI). 📍Experience in leading and managing a team of data analysts or researchers. 📍Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights. 📍 Strong communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders. 📍Understanding of privacy, security, and regulatory considerations related to blockchain data analysis. 📍 Proven track record of successfully driving data analytics initiatives and delivering valuable insights to support business objectives.

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