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Data Support Analyst

New York, New York


Working within a global team of data analysts, data scientists, and content experts within each key geographic locations the Data Support Analyst will serve as a steward for all  internal and external data content and will be responsible for the following:

  • Partnering with PMs/traders/analysts to understand how data is used in their processes. Serving as an in-house expert on data and providing consulting around best solutions for each use case.
  • Authoring internal and end-user-facing knowledge base articles around best practices.
  • Taking ownership of the internal data quality control framework, which includes authoring programmatic checks, monitoring the quality of incoming data and resolving issues to maintain a high level of quality of in-house data.
  • Collaborating with data engineers and third-party vendors to troubleshoot and resolve time-sensitive data incidents.
  • Designing tools and establishing standards, to promote operational efficiency. Gathering and analyzing internal metrics to identify key areas of improvement, to provide top-tier service to end-users.


  • Bachelor’s/master’s degree in Mathematics, Engineering, Economics, or a related field.
  • Strong ability to perform data analysis and wrangle data using Python. Understanding of SQL and relational databases.
  • Familiarity with AWS, Git, Airflow is a plus.
  • Firm understanding of time-series data, third-party data vendors, and how they apply to quant and fundamental analysis. Prior experience with quantitative investors (either as a quant or vendor) is strongly preferred.
  • Strong troubleshooting and creative problem-solving abilities.
  • High degree of accuracy and attention to detail.
  • Strong oral and written communication skills with both technical and non-technical audiences in mind.

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