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Data Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 260d ago
The date the source published, not the day we noticed it (2026-01-23). Last seen at its source 1h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Coimbatore/Bangalore/Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Bangalore
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay A$1,650–2,500/mo
Middle 50% of 19 listings that do state pay — Operations · all levels · APAC · AUD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 1d ago · last seen 1h ago
The listing
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