- Job ID 231055
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.
The Revv ecosystem will play a key role for Animoca Brands moving forward, and we are now looking for a Blockchain Data Scientist/Analyst to join the department focused on identifying new KPIs, building dashboards and generating insights in this groundbreaking new space.
- Work with stakeholders from the studios and the parent co to identify and support their data needs
- Create and maintain data pipelines to streamline the digestion and organization of both on-chain and off-chain data
- Transform, clean and maintain the data so other business units such as research, finance could easily access and analyse the data
- Develop data models that translate complex, esoteric blockchain data into standardized formats ready to generate insights
- Design automated systems that evaluate and parse the results of smart contract calls
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
- Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Requirements / Skill Sets:
- You possess a strong technical background that includes working in senior science/analytics positions with data infrastructure/distributed systems
- Good understanding of blockchain and cryptocurrencies is preferredAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience building and optimising ‘big data’ data pipelines, architectures and data sets
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
- Strong analytic skills related to working with unstructured datasets
- Build processes supporting data transformation, data structures, metadata, dependency and workload management
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
- Strong project management and organizational skills
- Experience supporting and working with cross-functional teams in a dynamic environmentComfortable presenting to all levels of stakeholder
– Dynamic and Multi-cultural work environment (15 nationalities and counting!)
– Token and NFT incentive schemes provided by Animoca Brands
– Flat company structure: your ideas get heard by the right people very quickly
– Casual work attire
– Opportunity to get involved in working with various subsidiary brands
– Benefits (Medical / Life / Transportation Allowances)
Personal Information Collection Statement:
Personal data provided by the Job Applicant will be used strictly in accordance with the Employer’s Personal Data Policies, a copy of which will be provided immediately upon his/her request. All classified data will be treated confidentially within the Human Resources & Administration Department. Personal data of unsuccessful applicants may be retained for a period of up to 3 months.