hirq
← All jobs

Arcana Analytics

Data Associate

Coimbatore · On-site · Portfolio Data & Operations

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

StatisticsData AnalysisExcel
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)