Kovaion Data Analyst Internship
Data Analyst Intern
Join our team as a Data Analyst Intern! Dive into real data, uncover insights, and help drive smart decisions that shape our platform’s future. Apply now and start your data journey with us!
Responsibilites
As a Data Analyst Intern, you’ll be helping us analyze and improve music data while learning from industry experts and working with cutting-edge AI tools. This role is perfect for someone who loves diving deep into data and has a keen eye for detail. Ready to join the team?
What You’ll Do:
- Listen to Tracks: Use our internal audio listener tool to listen to and analyze music tracks.
- Evaluate Music Parameters: Assess extracted musical parameters like tempo, key, timbre, energy, and embeddings to enhance our music data model.
- Review Metadata: Automatically pull and summarize artist and song metadata using a Large Language Model (LLM), including genre, bio, popularity indicators, and context.
- Annotate & Correct: Identify and correct any missed context or nuanced data from automatic extractions.
- Spot Anomalies: Flag any edge cases or anomalies in the audio or metadata for further model improvement.
Skills You’ll Need:
- Clear and Professional Writing: Communicate clearly and professionally in emails, reports, and documentation. Tailor your tone and structure to your audience.
- Effective Research Skills: Gather, analyze, and synthesize information from credible sources, presenting your findings logically and with supporting evidence.
- Technical Documentation: Write well-structured documentation to ensure clarity for the team and future reference.
- Detail-Oriented: Be meticulous with grammar, spelling, and formatting. Simplify complex topics and make them easy to understand.
- Proactive Communication: Keep the team updated with timely progress, ask clarifying questions when necessary, and summarize insights to drive informed decision-making.
Why Kovaion?
At Kovaion, we’re not just about data—we’re about purposeful innovation. we build intelligent solutions across AI, low-code platforms, and enterprise automation. Here’s why our interns love working with us:
Learning by Doing: Get hands-on with real projects, not just theory.
Supportive Mentorship: Work with leaders who love to teach and elevate emerging talent.
AI-Driven Culture: Gain exposure to AI, LLMs, and next-gen tools in a live product environment.
Niche Domain: Combine your passion for music and data in one exciting internship.
Growth-Focused: Be part of a team where innovation, agility, and curiosity are celebrated every day.
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