
Analytics Strategist
4 days ago
We are seeking a skilled business analytics professional to join our team. The ideal candidate will have expertise in statistical analysis, with a strong focus on identifying trends, uncovering biases, and developing frameworks that enhance program performance.
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, and catalyze innovation.
Key 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 using Looker Studio, Sisense, or similar BI tools.
- Identify and highlight potential biases or preferences in labeling data.
- 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.
- Drive 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.
- 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.
- Excellent ability to communicate insights clearly through reports, dashboards, and presentations to both technical and non-technical stakeholders.
- SQL: Highly proficient in using SQL to query, manipulate, and manage data within relational databases.
- Statistical Knowledge: Solid understanding of statistical concepts.
- Database and Data Warehousing: Knowledge of database systems and concepts like data warehousing and ETL processes.
This is a remote position with exposure to cutting-edge AI projects with a global client. You will have the opportunity to work at the intersection of AI, linguistics, and human judgment, driving impact in a rapidly evolving industry.
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