
Data Analyst Professional
1 day ago
Key Responsibilities
- Analyze large, complex datasets using statistical tools and programming languages.
- Identify trends, uncover biases, and develop frameworks that enhance program performance, as well as client and recruitment outcomes.
- Collect, analyze, and interpret data 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.
- Collaborate with program managers to translate findings into operational and client-facing insights.
- Conduct applied analytics using Python, SQL, and statistical modeling.
Required Skills and Qualifications:
- Strong proficiency in Python, SQL, and R.
- Applied expertise in statistical modeling and experimental design.
- Experience working with moderate-to-large datasets.
- 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.
Benefits:
- Opportunities to apply predictive modeling, NLP, and bias detection algorithms.
- Drive process improvements and automation, surfacing insights that reduce variability, improve efficiency, and strengthen program resilience.
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