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Data Specialist

Posted 8 days agoViewed

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🔍 Industry: Data and Analytics

🏢 Company: YipitData (Alternative)

Requirements:
  • Strong ownership mentality
  • Strong attention to detail
  • Methodical problem-solver
  • Ability to clearly communicate complex concepts, both orally and in writing
  • Ability to manage multiple priorities
  • Experimental and curious
  • Enthusiastic about making a big impact at a rapidly growing company
  • SQL
  • PySpark
  • Python
Responsibilities:
  • Be the primary owner of high-impact work such as running or building new data products end-to-end, running centralized data ingestion pipelines that the broader Data team relies on, or building clean granular data feeds that help clients dive into data.
  • Work with massive amounts of data to help answer our clients’ key questions about the companies we cover and the datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights.
  • Become a trusted and reliable resource for our internal stakeholders or clients and work with them to identify and answer their key questions. You'll gain insight into how investors use data in their investment decisions by contributing to data feeds, custom analysis, or data reports that are consumed by the top investors in the world. If you join one of our Central Data teams, you’ll also learn how our data drives decision-making at some of the largest companies in the world.
  • Improve our products, data pipelines, or data feeds by developing entirely new methodologies and features for our products, exploring and scaling use across the data team of new third-party datasets, or creating new modules to make our raw feeds data experience better. We value self-improvement and experimentation and expect you to enhance the products, pipelines, or data feeds that you own.
  • Learn or sharpen existing SQL and Python skills starting with our two-month new hire training program that will teach you SQL, PySpark, and Python fundamentals as well as our internal tools and processes.
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