Data Analyst

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance and risk. We’re rethinking the tools institutional investors rely on—and we’re hiring analysts who want to help drive that transformation.

We are looking for a Data Analyst to work with large-scale financial datasets, ensure high data quality, and deliver actionable insights through dashboards and reports. The role focuses on building and maintaining robust data quality frameworks and collaborating closely with internal and external stakeholders at scale.

Responsibilities

Manage and analyze large volumes of daily financial data

Design, implement, and continuously improve data quality frameworks

Perform data validation, reconciliation, and monitoring

Resolve Level 1 & Level 2 data quality issues; escalate complex issues to Data Science teams

Use SQL and Python for data analysis, scripting, and development

Build and maintain dashboards and reports for business insights

Work with large-scale datasets (100TB+) covering 100K+ global companies

Apply statistical techniques to monitor data accuracy and anomalies

Collaborate with cross-functional teams and share insights with stakeholders

Requirements

Strong understanding of data quality, validation, and reconciliation concepts

Advanced SQL skills (complex queries, joins, performance optimization)

Proficiency in Python for data analysis and scripting

Experience with dashboarding and reporting tools

Ability to work in large-scale / big data environments

Working knowledge of statistics for data monitoring and validation

Strong communication and stakeholder management skills

Experience handling data from multiple and diverse sources

Qualifications

Bachelor’s degree in BCA / MCA / Engineering

CGPA: 8+

Prior experience in Finance / FinTech preferred

Exposure to financial datasets is a plus