
Data Analyst
4 hours ago
We are seeking a Data Analyst to join our team. The ideal candidate will specialize in data analysis and statistical modeling. This role is crucial for analyzing and interpreting large, complex datasets using statistical tools and programming languages. The analyst will analyze operational and well-being data to identify trends, uncover biases, and develop frameworks that enhance program performance, as well as client and recruitment outcomes.
This pivotal role entails designing models, constructing analytics frameworks, and fostering close collaboration with diverse organizational teams, including program managers and business leaders. Your analytical insights will inform operational decisions, formulate client recommendations, enhance well-being strategies, and catalyze innovation.
Responsibilities- Determine business processes and requirements to identify opportunities for improvement or optimization through the use of data analysis
- Analyze and interpret large datasets to develop actionable business insights and recommendations
- Design and analyze experiments and statistical tests to uncover drivers of performance and label patterns
- Build dashboards, reports, and automated monitoring systems in BI tools
- Identify and highlight potential biases or preferences in labeling data (e.g., topic-specific or cultural/linguistic bias)
- Collaborate with program managers to translate findings into operational and client-facing insights
- Conduct applied analytics using Python, SQL, and statistical modeling, with opportunities to apply predictive modeling, NLP, and bias detection algorithms
- Manage and explore datasets ranging from structured spreadsheets/CSVs to larger-scale rater outputs (scaling to millions of rows as needed)
- Drive process improvements and automation, surfacing insights that reduce variability, improve efficiency, and strengthen program resilience
- Evaluate and improve existing business intelligence models to create best-in-class solutions
- Provides guidance and mentorship to others within the team
- Strong proficiency in Python, SQL, and R
- Applied expertise in statistical modeling and experimental design (e.g., sampling, confidence intervals, agreement metrics)
- Experience working with moderate-to-large datasets, with the ability to scale analyses as data volume grows
- Familiarity with BI/visualization tools such as Looker Studio, Sisense, Tableau, or Power BI
- Experience in cloud data environments preferred
- Excellent ability to communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders
- Comfortable supporting client meetings as a subject-matter expert, while primarily focused on internal analysis and insights
- Competitive compensation package
- Opportunity to work at the intersection of AI, linguistics, and human judgment, driving impact in a rapidly evolving industry
- Remote position
- Exposure to cutting-edge AI projects with a global client
- Growth opportunities as the program scales
- Annual merit increase based on performance
- Full-time
- Job function: Analyst
- Industries: IT Services and IT Consulting and Telecommunications
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