Data Analyst – Team Lead

Job not on LinkedIn

🔥 0 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Oversee high-performing, multidisciplinary members of the Data & Analytics team • Design and build complex visualisations and analytical models to understand the impact of market or operational changes on the business • Work closely with operational and functional areas to identify, prioritise and deliver pressing and impactful analytical use cases • Turn complex findings into simple visualisations and recommendations for execution • Analyse and interpret large, PB-scale volumes of transactional, operational and customer data using proprietary and open-source data tools, platforms and analytical toolkits • Operate in a fast-paced industry and organisation where time to market is critical

🎯 Requirements

• Degree in a quantitative discipline, as Mathematics, Statistics, Actuarial Sciences, Computer Science, Engineering or Life Sciences • Minimum 8 years of industry experience applying advanced analytics • Demonstrated experience applying analytical techniques to guide operational improvements, scheduling, asset utilisation or investment decisions • Experience supervising the work of others, preferably in analytics or engineering roles • Desire and ability to think abstractly, solve problems and deal with ambiguity • Enthusiasm and drive to be a leader in the team, helping shape and develop its future • Strong communication, presentation, project management and time management skills • Advanced competency in two or more of: analytical software such as R or SAS; data visualisation tools such as Qlikview, Tableau or PowerBI; relational or graph database management tools such as SQL, NoSQL or Neo4J; programming such as VBA, C++, Java or Python