At a glanceSummarised by Seekless from the posting.
Must have6
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
Eligibility1
Open to working flexible hours (early morning, day shift, evening shift)
Skills
Excel
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:
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Work with large datasets to ensure data accuracy, consistency, and integrity across databases.
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Partner with Product and Engineering teams to identify and implement process improvements and automation tools to enhance data quality and operational efficiency.
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Support internal teams by creating and maintaining internal reports and dashboards.
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Diagnose and highlight data pipeline issues, escalating complex problems as needed.
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Respond promptly to data-related inquiries and requests from clients, internal teams (Sales, Services), and external data providers/partners.
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Collaborate with regional teams on shared operational workflows and cross-functional projects.
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Maintain and update team resources and procedural documentation, and ensure accurate recording of metrics for internal reporting and analytics.
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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)