Arcana Data Analyst Recruitment 2026: Apply Online for Various Vacancies
Data Analyst
Job Overview
About the Data Analyst Role at Arcana
Arcana is a cutting-edge portfolio intelligence platform designed specifically for hedge funds and asset managers to analyze performance and risk. As a Data Analyst at Arcana, you will be at the forefront of rethinking the tools institutional investors rely on. This role is crucial for ensuring the integrity, accuracy, and reliability of large-scale financial datasets that drive critical investment decisions globally.
In this position, you will manage and analyze massive volumes of daily financial data, designing and implementing robust data quality frameworks. You will work with big data environments exceeding 100TB+, covering over 100,000 global companies. This requires a deep understanding of data validation, reconciliation, and monitoring techniques, along with the ability to resolve complex data anomalies using advanced statistical methods.
Key Responsibilities and Impact
- Data Quality Frameworks: Design, implement, and continuously improve data quality frameworks to ensure high-fidelity financial data.
- Large-Scale Data Management: Manage and analyze massive datasets (100TB+) covering global companies, ensuring seamless data pipeline operations.
- Validation & Reconciliation: Perform rigorous data validation, reconciliation, and monitoring to detect anomalies and inconsistencies.
- Issue Resolution: Handle Level 1 and Level 2 data quality issues efficiently, collaborating with Data Science teams for complex escalations.
- Technical Execution: Utilize advanced SQL and Python scripting to perform deep-dive data analysis, automate validation checks, and optimize query performance.
- Reporting & Visualization: Build and maintain interactive dashboards and reports to deliver actionable business insights to stakeholders.
- Cross-Functional Collaboration: Partner with product, engineering, and data science teams to drive data-driven decision-making across the organization.
Ideal Candidate Profile
The ideal candidate for the Data Analyst position at Arcana is a highly analytical individual with a passion for financial data and technology. You should possess a strong academic background, specifically a Bachelor’s degree in BCA, MCA, or Engineering with an outstanding CGPA of 8 or above. Prior experience in the Finance or FinTech sector is highly preferred, as it provides the necessary context for handling complex financial datasets. You must be comfortable working in a fast-paced environment, managing multiple priorities, and communicating effectively with both technical and non-technical stakeholders.
Career Growth & Learning Opportunities
At Arcana, we believe in continuous learning and professional development. As a Data Analyst, you will be exposed to cutting-edge technologies and methodologies in data engineering, data science, and financial analysis. You will have the opportunity to transition into senior analytical roles, data engineering, or product management as the company scales. We provide mentorship from industry experts, access to advanced training resources, and a supportive environment that encourages innovation and creative problem-solving.
Key Job Details
| Company Name | Arcana |
| Job Role | Data Analyst |
| Experience | Mid-Senior level |
| Salary Range | Competitive |
| Job Type | Full-time |
| Work Mode | On-site / Full-time |
| Openings | Various |
| Job Location | Coimbatore, Tamil Nadu, India |
Key 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 & Qualifications
- 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.
Required Skills
- Advanced SQL (Joins, CTEs, Window Functions)
- Python (Pandas, NumPy, Scripting)
- Data Quality & Validation Frameworks
- Data Reconciliation & Monitoring
- Big Data Environments (100TB+)
- Statistical Analysis & Anomaly Detection
- Dashboarding & Reporting Tools
- Stakeholder Management
About Arcana
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.
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