Product Data Analyst

U.S. Remote

Applications have closed

Binance.US

Binance.US is the crypto trading platform for US residents where you can buy, sell, and trade cryptocurrencies and alt coins with some of the lowest fees in the US. Start trading in minutes.

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Launched in 2019, Binance.US is the fastest growing and most integrated digital asset marketplace in the United States, powered by matching engine and wallet technologies license from the world’s largest cryptocurrency exchange - Binance. Our mission is to provide liquidity, transparency, and efficiency to financial markets by creating products that leverage crypto to unlock the power of everything. We build bridges between traditional finance and digital markets that enable growth for all—empowering the future of finance. Binance.US is operated by BAM Trading Services.
As a Product Data Analyst at Binance.US, your mission is to understand and explain how the end users interact with our products and how that impacts Binance.US as a business. Based on your insights, you will make recommendations for product development and identify business opportunities. You will work closely with product managers and engineers as well as designers on developing Binance.US' consumer offering and have a direct impact on Binance.US’ success.

Responsibilities

  • Collaborate with PMs, designers, engineers, data scientists to optimize and develop consumer facing products 
  • Develop and track the actionable KPIs and metrics
  • Analyze UX and customer journeys to identify opportunities and improvement
  • Get the right tracking implemented for every feature and main it  
  • Setup, monitor and analyze AB tests continuously to improve feature and design
  • Take care of the data pipeline of the team (if needed) 
  • Build up dashboards and prepare reviews/ meetings
  • Analyze the financial performance of Binance.US’ consumer offering, understand the unit economics and contribution
  • Be a driving force in product development, backing up suggestions with evidence and derive actionable insights
  • Facilitate data driven decision making across the company

Requirements

  • 5+ years of experience in an Data Analytics, ideally with SaaS product 
  • Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, or Engineering
  • Excellent communication skills in verbal and written English
  • Excellent at communicating and presenting insights to any type of audience
  • Have a sense of ownership and assume end-to-end responsibility in your work
  • Strong business acumen and data analysis ability to help stakeholders make data-driven decisions
  • Able to managing multiple competing priorities and in a fast-paced environment
  • Experience building compelling dashboards using data visualization tool
  • Fluent in SQL 
  • Comfortable with AB tests and working on basic statistics 
  • Experience in Python or R is a plus
  • Experience of AARRR analysis in a consumer facing tech company is highly preferred
The starting base pay for this role is between $100,000 and $135,000 USD for all U.S. remote locations. The actual base pay is dependent upon many factors, such as: transferable skillsets, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.
Binance.US is an Equal Opportunity Employer. Our mission is to give Americans access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. 
Binance.US complies with Federal Transparency in Coverage regulations by providing this link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.Kaiser Permanentewww.aetna.com

Tags: Computer Science Crypto Data analysis Data Analytics Data visualization Economics Engineering Finance KPIs Mathematics Python R SQL Statistics UX

Perks/benefits: Health care Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  19  2  0

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