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Certified Data Analyst at Adelson Eye and Laser Center (AELC)
Taipei, Hong Kong, Taiwan -
Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Business Intelligence, SQL, Python, Spark, Flink, Tableau, Power BI, Analytical Skills, Problem-Solving, Critical Thinking, Communication Skills, Detail-Oriented, Organizational Skills

Industry

Description
Aster is the foremost decentralized exchange for crypto derivatives on major blockchains like BNB Chain and Arbitrum. Offering both order book and on-chain perpetuals, Aster empowers traders and stakers with unparalleled opportunities. Elevate trading with up to 1001x leverage, zero slippage and competitive fees. Amplify liquidity provider (LP) returns with the highest yield among perpetual trading platforms with majority-stablecoin LP pools. \n Key Responsibilities Design, build, and manage data warehouse to serve as the single source of truth for the organization. Develop and deploy low-latency, real-time data streaming pipelines. Enable self-service analytics by building clean, well-documented, and trusted datasets. Establish and follow data governance and security best practices. Stay current with industry best practices and emerging data analysis tools and techniques. Qualifications Certified Data Analyst (CDA) certification or equivalent. Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field. Proven experience (5+ years) in data analysis or business intelligence roles. Proficiency in data tools such as SQL, Python, Spark, Flink or BI platforms (e.g., Tableau, Power BI). Strong analytical, problem-solving, and critical-thinking skills. Excellent communication skills with the ability to present complex data clearly. Detail-oriented and highly organized. Experience in [industry, e.g., fintech, blockchain, technology] is a plus. \n
Responsibilities
Design, build, and manage a data warehouse to serve as the single source of truth for the organization. Develop and deploy low-latency, real-time data streaming pipelines and enable self-service analytics by building clean, well-documented datasets.