
Data Insights Specialist
19 hours ago
An accomplished professional is sought to analyze operational and labeling data, identify trends, and design frameworks that strengthen program performance and client outcomes.
Key Responsibilities:
- Develop, implement, and maintain program and rater performance metrics.
- Design and analyze experiments and statistical tests to uncover drivers of performance and label patterns.
- Build dashboards, reports, and automated monitoring systems in business intelligence tools.
- Identify and highlight potential biases or preferences in labeling data.
- Collaborate with linguists, raters, and program managers to translate findings into operational and client-facing insights.
- Conduct applied analytics using Python, SQL, and statistical modeling.
- Manage and explore datasets ranging from structured spreadsheets to larger-scale rater outputs.
- Partner with client teams by supporting linguists and PMs in meetings where technical depth and context are required.
Essential Qualifications:
- Strong proficiency in Python, SQL, and R programming languages.
- Applied expertise in statistical modeling and experimental design.
- Experience working with moderate-to-large datasets.
- Familiarity with business intelligence/visualization tools.
- Excellent ability to communicate insights clearly through reports, dashboards, and presentations.
- Strong collaboration skills, with experience working in cross-functional teams.
Desirable Qualifications:
- Experience with bias detection, NLP, or applied AI/ML models.
- Knowledge of rater evaluation methods and quality metrics.
- Background in quality, linguistic, or cultural data analysis.
- Exposure to human computation programs or crowdsourced labeling workflows.
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