Companies Arcana Analytics Data Associate

About the role

Arcana Analytics

 

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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