Data Associate

Arcana

📍
Posted May 23, 2026

Job Overview

Position

Data Associate

Company

Arcana

Location

Work Type

On-site

Job ID

li-4382240701

Job 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)

Interview Prep

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Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you approach diagnosing a data pipeline issue that is causing discrepancies in client portfolio data, and at what point would you escalate it?
  • 2.Can you describe a time you used Excel or another data analysis tool to improve data quality or operational efficiency?
  • 3.What specific checks would you include in a daily verification process to ensure the accuracy and timely availability of client portfolio data?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to manage multiple urgent data requests from different stakeholders, such as Sales and external partners, in a fast-paced environment.
  • 2.Describe a situation where you identified an opportunity to implement a process improvement or automation tool that enhanced data quality.
  • 3.Give an example of a time you collaborated with regional or cross-functional teams on a shared operational project.
🧩Situational Questions (2)
  • 1.You are performing daily verification checks and notice a significant anomaly in the client portfolio data just before the SLA deadline. What do you do?
  • 2.A product manager asks you to build a new dashboard, but you are already at full capacity handling urgent data inquiries and daily verification checks. How do you handle this?

Resume Keywords

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Data IntegrityLarge DatasetsData PipelineProcess ImprovementAutomationDashboardsSLA ComplianceCross-functional CollaborationFinancial TechnologyData AnalysisVerification ChecksProcedural Documentation

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