
Senior Business Intelligence Developer
1 week ago
The role of Data Analyst is pivotal in 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.
Key Responsibilities- Analyzing business processes to identify opportunities for improvement or optimization through the use of data analytics
- Collecting, analyzing, and interpreting large datasets to develop actionable business insights and recommendations
- Designing and analyzing experiments and statistical tests to uncover drivers of performance and label patterns
- Building dashboards, reports, and automated monitoring systems in data visualization tools
- Identifying and highlighting potential biases or preferences in labeling data (e.g., topic-specific or cultural/linguistic bias)
- Collaborating with program managers to translate findings into operational and client-facing insights
- Conducting applied analytics using Python, SQL, and statistical modeling, with opportunities to apply predictive modeling, NLP, and bias detection algorithms
- Managing and exploring datasets ranging from structured spreadsheets/CSVs to larger-scale rater outputs (scaling to millions of rows as needed)
- Driving process improvements and automation, surfacing insights that reduce variability, improve efficiency, and strengthen program resilience
- 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 data visualization tools such as 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
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