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Data Associate

Arcana Analytics, Inc. · arcana.io
CoimbatoreEntry level
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Business Analytics Analyst I
Coimbatore · found 2 d ago

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The job in short

Data associate maintaining client portfolio data and internal reports.

ExcelData scienceSQL

Details

Found
27 d ago · posted 2025-06-13
Location as listed
Coimbatore
Role
Data / BI Analyst
Source
The company’s own careers site

Full description

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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