Business Intelligence Analyst - Remote
About the role
Join Alkame Inc as a remote Data Analyst Engineer contributing directly to real-world production systems. In this role, you will be embedded in active project work on Alkameinc / alkame-nifty-50-educational, developing financial time-series pipelines for Nifty 50 market data, statistical technical indicators (RSI, Bollinger Bands, Sharpe ratio), and historical backtesting simulators. You will work under the guidance of technical mentors with weekly progress reviews. This position requires at least 10 hours per week of active login, maintaining >=75% portal attendance, and completing assigned development milestone tasks. Key Benefits: Stipend of ₹5,000 base + up to ₹13,000 performance-based incentives (Total up to ₹18,000/month), official Certificate of Completion, Letter of Recommendation (LOR) for top contributors, verified GitHub contribution credit on actual production repositories, and portfolio profile building.
Responsibilities
- Active commitment of at least 10 hours per week with minimum 75% portal attendance.
- Contribute production-grade code, bug fixes, or enhancements to Alkameinc / alkame-nifty-50-educational.
- Build, test, and document features according to task specifications and weekly mentor milestones.
- Participate in code reviews, technical syncs, and platform evaluations.
Stipend is paid upon completing at least 3 approved pull requests on the actual project repository along with maintaining required attendance (≥75%) and weekly milestone task completion.
Skills & Tech Stack
Eligibility
Open to students and recent graduates with working knowledge in Data Analyst. Requires at least 10 hours/week login commitment, >=75% attendance, and drive to contribute real production pull requests.
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Stipend, if applicable, is contingent on assignment to a paid project and completion of required certifications. Full terms apply.