Senior Data Analyst
atBinance
May 26
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.
Responsibilities
- Responsible for the overall planning, design, delivery and promotion of the Customer Service bot data analysis
- Design an effective analysis and reporting system to enable internal teams quickly break-down key metrics, diagnose weak areas and suggest actionable items
- Collaborate closely with cross-functional teams including PM, data engineering, and Customer Service operations team to achieve product objectives
- Review Customer Service bot KPI and user cases regularly and find valuable insights to guide product and operation improvements
Requirements
- 5+ year experience; Bachelor’s degree and above in a quantitative or engineering field with professional work experience in a relevant field
- Strong analytical thinking and communication skills
- Experience with common analysis tools such as SQL, R, and Python
- Solid experience with at least one data visualization tool (Tableau, Qlik, PowerBI, etc.)
- Familiar and comfortable with large volumes of data and big data technology (Hadoop, Spark, Presto, hive)
- Experience in working with cross-functional teams to gather requirements and ability to set work priorities
- Good business sense and logical thinking. Ability to synthesize information and generalize the pattern
- Experience with customer service data analysis and AI bot analysis will be beneficial
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