Data Analyst

🕒 March 24

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arcana Analytics

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2020

📣 Marketing

📦 Logistics

🏭 Manufacturing

💰 Funding Round - Arcana on 2022-04

Marketing • Logistics • Manufacturing

Arcana Analytics is a B2B SaaS company that provides advanced fundamental and statistical equity factor risk models, proprietary crowding and ownership datasets, and analytics tools for institutional investors. Its platform offers portfolio-level and single-stock factor/idiosyncratic decomposition, scenario analysis, optimization, live intraday factor returns, and APIs to support portfolio construction, risk management, and idea/hedge screening. Arcana serves hedge funds and asset managers seeking to improve risk-adjusted returns and understand crowding, positioning, and drivers of performance.

📋 Description

• 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