Data Analytics Developer

Marketing · New York City, New York
Department Marketing
Employment Type Full-Time
Minimum Experience Mid-level

About Celsius Network


Celsius addresses the financial needs of today’s consumers worldwide through a democratized interest income and lending platform accessible via mobile and desktop app. With a mission to put unparalleled economic freedom in the hands of the people, and a core belief that financial services should only do what is in the best interests of the community, Celsius is a modern earning and lending platform where membership provides access to curated financial services that are not available through traditional financial institutions. Crypto holders can earn yield on the digital assets in their account with Celsius, and can borrow fiat or stablecoins against their crypto collateral at the lowest interest rates in the space.  

 

The Celsius team is committed to doing good and doing well. We believe in the power of disruption and the importance of decentralization to create a new system that acts in the best interest of everyone. Each member of our team brings something unique and innovative to the table, but the common thread that links us together is our passion for blockchain, equality, and leading the next financial revolution that changes the equation to bring power back to the people.

 

Position: Data Analytics Developer


Responsibilities:

  • Collect, analyze and structure data to develop insights about key business questions of material interest to the concerning department.
  • Collaborate with the concerned team to develop and set up dashboards and reports that create insight, intelligence, and forecastability.  
  • Create reports based on both internal and external data sources as per the requirements of the concerning team.
  • Perform extended research projects on particular topics of interest with a particular focus on business impact and the results of key market events and business decisions. 
  • Create data governance standards for reports and dashboards in collaboration with the data analytics team for the consumption of data across specific departments within Celsius (i.e. Compliance, Marketing, et cetera.)
  • Present findings from data mining in a narrative that is clear and easily digestible by various stakeholders regardless of their background in data analysis. This means clear charts, easy to understand metrics along with strong presentation skills, and ability to think on your feet to respond to questions.
  • Develop, deploy and maintain various pipelines for automating various dashboards for concerned departments.
  • Continuously work to maintain flow of data sources and increase data quality, integrity, and reliability from existing data sources.



Requirements:

  • 2+ years of experience in data analytics, data engineering, or a related field in a high stakes environment with demonstrated history of project ownership and execution. 
  • Interest and Passion for Celsius’ mission
  • Must be fluent in data analysis to filter out noise and deliver actionable insights
  • Excellent Python skills with aptitude in data analytics packages such as pandas, numpy, sk-learn, and others. 
  • Excellent Tableau skills both in terms of technical competency and design aptitude. 
  • Excellent SQL skills
  • Knowledge of Google APIs (Sheets, Apps Script, et cetera) along with Google Cloud console.
  • Knowledge and understanding of AWS Services (Lambdas, EC2, IAM)
  • Excellent written and verbal communication skills in a narrative story format with a business mindset. 
  • Knowledge and experience with blockchain technology and the crypto ecosystem.
  • Meticulous attention to detail and resourcefulness
  • Strong multi-tasking skills along with ownership of a wide variety of tasks and responsibilities
  • Must take ownership for results and rapidly experiment and iterate to match a changing company. 

Thank You

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  • Location
    New York City, New York
  • Department
    Marketing
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level