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Data Analyst (12 months contract)
Hong Kong
Animoca Brands Limited – Finance & Accounting /
Consultant /
On-site
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Animoca Brands Corporation Limited (ACN: 122 921 813) is a Web3 leader that leverages tokenization and blockchain to deliver digital property rights to consumers, helping to establish the open metaverse and its associated network effects. Animoca Brands realizes its mission via three integrated business pillars: operating Web3 businesses to advance blockchain adoption with native projects such as Moca Network, Anichess, The Sandbox, Open Campus, NEOM Web3 initiatives, and a regulated stablecoin project in partnership with Standard Chartered and HKT; providing digital asset advisory services including tokenomics advisory, liquidity provisioning, and institutional research to help external Web3 projects grow; and investment management, with a portfolio of investments in over 540 companies including industry leaders Pudgy Penguins, Yuga Labs, Axie Infinity, Polygon, Consensys, Magic Eden, OpenSea, Dapper Labs, YGG, and many others.
Job Summary:
We are seeking a highly motivated and Data Analyst to join our Accounting team. In this role, you will be responsible for performing simple data analysis to support the accounting department's operations and decision making.
Responsibilities
- Collect, clean, and analyze financial data from various sources.
- Identify trends and anomalies in financial data.
- Assist in the development and maintenance of data dashboards.
- Collaborate with the accounting team to understand data requirements and deliver actionable insights.
- Ensure data accuracy and integrity in all analyses and reports.
- Present findings clearly to the team.
Requirements
- Bachelor's degree in Data Science or a related field.
- Proven experience in data analysis, preferably within an accounting or finance environment.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
- Strong quantitative and effective communication skillsAbility to manage multiple tasks and prioritize effectively.
- Positive attitude, enthusiasm, and eagerness to take on new challenges.
- Experience with accounting software (e.g., SAP, Oracle) is a plus.
The Perks of Joining Animoca Brands:
A Vibrant and Diverse Workplace: Immerse yourself in a dynamic, multi-cultural environment with colleagues from over 15 nationalities (and growing!). We celebrate diversity and foster a global perspective.
Incentives in the Web3 Space: Be a part of the future and align your success with the growth of our innovative projects.
Direct Impact and Flat Structure: Your voice matters. We operate with a flat organizational structure, ensuring your ideas are heard and implemented quickly.
Comfortable and Creative Atmosphere: Embrace a relaxed and productive work environment with casual attire.
Opportunities Across the Ecosystem: Expand your horizons by collaborating with various subsidiary brands within the Animoca Brands network, gaining exposure to a wide range of projects and technologies.
Comprehensive Benefits Package: We care about your well-being. Enjoy a comprehensive benefits package, including medical, life, and 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.
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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.