
Quantitative Analyst
7 days ago
The ideal candidate will be responsible for collecting, analyzing, and interpreting quantitative data to support strategic decision-making. This role involves developing statistical models, running simulations, and producing reports and visualizations to uncover insights and guide organizational priorities.
Key Responsibilities:- Collect, clean, and prepare large datasets from multiple sources for analysis.
- Apply statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel models) to analyze trends, patterns, and forecast.
- Interpret and communicate complex data findings and forecasts to non-technical stakeholders.
- Build and maintain dashboards, forecasts, and ad hoc reports.
- Support survey design and evaluation (sampling, weighting, post-stratification if applicable).
- Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals.
- Ensure the accuracy, integrity, and privacy of all data processed.
- Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics(Econometrics), or a related quantitative field.
- Strong proficiency in Microsoft Excel, Word, and G-Suites.
- Strong proficiency in any statistical software(R/SPSS is preferred).
- Solid understanding of statistical concepts, including linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods.
- Experience working with large datasets and relational databases(graduate or undergraduate experience will also be considered).
- Excellent analytical, problem-solving, and organizational skills.
- Strong communication skills, especially in interpreting data for non-technical audiences.
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