Data Associate
Arcanaanalytics
Job Description
About the Role
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)
Required Skills
Job Details
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