About the company
Coinhako is a market-leading platform for access to digital assets like Bitcoin from Singapore. Founded in 2014, Coinhako has established a reputation as being one of the most secure and trusted digital asset wallet service providers and trading platforms in the APAC market. Our team is deeply passionate about building the crypto economy in the APAC region. Through the launch of our innovative suite of products and services, Coinhako aims to empower individuals and businesses by allowing them to take ownership and control of how they build and manage their assets in the new digital finance world. In line with our expansion, we are looking for motivated individuals who are passionate about the crypto space.
Job Summary
What you'll be doing:
šDevelop and implement data visualisation/ dashboards šPerform an in-depth analysis on the business performance, generate regular/on-demand analytical report šDesign market/business detailed reports, performance measurement tools and other data products šExplore business issues/opportunities, uncover insights and/or identify targeted areas for business and user growth šCommunicating with management and various teams regarding research findings, presenting reports in written or verbal format, and providing recommendations for action based on findings šBe the technical leader and strategic thinker to decide the technological stacks/ analytical solutions used in the process šAssist in building and maintaining data pipelines used for a diverse range of data products
What we're looking for:
šBachelorās Degree in Computer Science/Data Analytics, Engineering, Mathematics, and other related courses š5 yearsā relevant working experience šStrong working knowledge and experiences in SQL and statistics šIn-depth experiences with visualisation tools such as PowerBI, Tableu, etc. Knowledge and experiences with Apache Superset, AWS QuickSight and Amazon Athena is a plus šWorking knowledge or experience in Big Data technologies used for data analytics including Python (pandas, numpy, etc.)/ R, PySpark, MLFlow, DataBricks, etc. is a bonus
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