
Data Insights Specialist
3 days ago
Data Analyst
\Unlocking insights through data analysis is a crucial role in the Business Intelligence Team. As a Data Specialist, you will leverage analytics and statistical expertise to drive program performance, client outcomes, and recruitment strategies.
\Key Responsibilities\- Understand business processes to identify opportunities for improvement or optimization using 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 programming languages\
- 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
- SQL: Highly proficient in using SQL to query, manipulate, and manage data within relational databases\
- Statistical Knowledge: Solid understanding of statistical concepts (probability, regression analysis, hypothesis testing)\
- Database and Data Warehousing: Knowledge of database systems (MySQL, PostgreSQL) and concepts like data warehousing and ETL processes for managing large datasets\
- Oral and written comprehension; appropriate use of language\
- 3+ years in a quantitative role (Analytics consultant, Quantitative Analyst, Product Analyst, or similar)\
- 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
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