Description
Job Summary
pJoin Humyn Labs, a pioneer in physical-world AI intelligence, as a Data Analyst. You’ll transform complex data into actionable insights for speech AI benchmarking, dataset analytics, and platform reporting.
Responsibilities
- Analyse ASR benchmark results across multiple languages and providers
- Build Superset dashboards for leadership and team members
- Support KAI (NL2SQL) with robust SQL logic and schema documentation
- Validate NL2SQL outputs against ground truth SQL
- Resolve permission and connectivity issues in data analytics
- Publish internal QA reports and benchmark summaries
Required Skills
- Advanced SQL proficiency
- Proficiency with BI tools like Superset
- Experience with Python for data wrangling
- Exceptional written communication skills
- Comfort with ambiguity and complex data landscapes
Required Skills Explained
{'htmlulist': ['
2+ years of experience in an analytical role, with a focus on reporting and insight delivery.', '
Advanced SQL skills, including the use of window functions, CTEs, complex joins, and production-quality query writing against Athena or similar systems.', '
Proficiency with BI tools such as Superset, Metabase, Looker, etc., to build dashboards from scratch rather than just editing existing ones.', '
Experience working with Python for data wrangling using pandas and analysis notebooks. While not required to be an engineer, you should have self-sufficiency in these skills.', '
Exceptional written communication skills, capable of writing technically precise benchmark reports that are suitable for external publication.', '
Comfort working with ambiguity, as the job involves a diverse range of data landscapes including speech AI, dataset quality, and platform analytics.']}
Who is this for
pThis role is ideal for experienced Data Analysts who enjoy working in a fast-paced, innovative environment. You should have a passion for speech AI benchmarking and dataset analytics.
Why This Job is a Good Opportunity
{'htmlulist': ['liPotential to work on groundbreaking projects at the intersection of egocentric video understanding, embodied AI, robotics perception, and voice-driven interaction.', "liOpportunity to contribute directly to Humyn Labs' credibility with dataset marketplace buyers through rigorous analysis and reporting.", 'liFast-paced environment where you can make a significant impact on real-world applications of AI.', 'liGlobal scope with operations across 20+ countries, offering exposure to diverse data sets and cultures.', 'liCollaborative team culture that values data quality and shipping at scale.']}
Interview Preparation Tips
{'htmlulist': ['
Practice explaining complex technical concepts in simple terms, as this role requires clear communication of analytical findings.', '
Prepare examples of how you have used SQL to solve real-world problems and create dashboards that drive decision-making.', '
Be ready to discuss your experience with benchmarking and evaluating machine learning models, including any relevant NLP evaluation metrics or ML model benchmarking skills.', '
Pull together a portfolio of previous work that showcases data wrangling, SQL queries, and BI tool usage.', '
Think about specific scenarios where you have had to work with ambiguous data sets and how you resolved the challenges.']}
Career Growth in This Role
{'htmlparagraphs': ['In this role at Humyn Labs, there is significant potential for career growth. As a Data Analyst, you will start by producing benchmark analyses and supporting KAI (NL2SQL) with robust SQL logic and schema documentation. Over time, as you demonstrate your expertise in data analysis and communication, opportunities may arise to take on more leadership roles within the team or even move into broader product management positions.', 'The role also offers chances for specialization. You might find yourself contributing more deeply to KAI development or moving towards a project management role where you can oversee multiple analytics projects simultaneously. With continued success in building and maintaining high-quality data pipelines, you could also consider roles in data science or even move into executive-level decision-making as the team scales.', "Moreover, your work will have a direct impact on Humyn Labs' reputation within the industry, making it possible to influence strategic decisions that shape the future of physical-world AI."]}
Explore More Opportunities
Skills
Frequently Asked Questions
What kind of data sources will I be working with?You'll work with diverse data sources including audio, image, text, and code modalities from various languages and providers.
Is prior experience in NLP evaluation metrics required?While not mandatory, experience with NLP evaluation metrics or ML model benchmarking is a strong plus.
What BI tools will I be using?You'll primarily use Superset for building and maintaining dashboards. Other BI tools are available as needed.
