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Data Associate

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Job Description - Data Associate

 


We are seeking a detail-oriented Data Associate to join our growing team. As a Data Associate, you will work closely with our product managers, financial analysts, and engineers to ensure high-quality data integration, analysis, and maintenance. The ideal candidate will have a passion for working with large datasets, a strong analytical mindset, and a desire to make an impact in the financial technology space.


Responsibilities:



  • Work with large datasets to ensure data accuracy, consistency, and integrity across databases.

  • Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency.

  • Support internal teams by creating and maintaining internal reports and dashboards.

  • Diagnose and highlight data pipeline issues, escalating complex problems as needed.

  • Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners.

  • Collaborate with regional teams on shared operational workflows and cross-functional projects.

  • Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics.

  • Conduct daily verification checks to ensure the accuracy and timely availability of client portfolio data, adhering to defined SLAs.


Requirements:



  • Bachelor's degree in a relevant field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines).

  • GPA of 8.0+ is required

  • Strong understanding of data management and analytics.

  • Proficiency in Excel and/or other data analysis tools.

  • Excellent communication and interpersonal skills for engaging with internal and external data partners.

  • Consistent track record of multitasking and prioritizing effectively in a fast-paced environment, and remaining calm under pressure.

  • Open to working flexible hours (early morning, day shift, evening shift)


 

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