
Data Explorer
14 hours ago
We are seeking a skilled expert to lead our Business Intelligence Team. The ideal candidate will possess extensive knowledge of data analysis and statistical modeling, with the ability to analyze and interpret complex datasets using advanced tools and programming languages.
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 recommendations, enhance strategies, and catalyze innovation.
Responsibilities:- Understand business processes and requirements to identify opportunities for improvement or optimization through the use of data analytics.
- Collect, 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 Looker Studio, Sisense, or similar 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 Google Cloud Platform (GCP) or other 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.
- Candidates will have opportunities to work with a range of datasets, from small to large scales.
- A supportive team environment that encourages collaboration and knowledge-sharing.
- The chance to contribute to innovative projects and drive business growth.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field, OR equivalent practical experience; an advanced degree is a plus but not required.
- 3+ years in a quantitative role (Analytics consultant, Quantitative Analyst, Product Analyst, or similar).
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