Sr. Analyst - Quantitative Research
USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum 5 years of experience in data analysis, quantitative research, or business analytics roles.
- Required Skills
- PythonSQLBusiness AnalysisData AnalysisMachine LearningTableau
Requirements
- Bachelor’s degree in a quantitative or analytical field (e.g., Statistics, Economics, Mathematics, Computer Science, or related discipline).
- Minimum 5 years of experience in data analysis, quantitative research, or business analytics roles.
- Strong proficiency in SQL, Python, and data visualization tools such as Tableau.
- Solid understanding of statistical analysis, business modeling, and data-driven decision-making.
- Experience working with large datasets and applying analytical methods to real-world business problems.
- Strong communication skills with the ability to present insights clearly to stakeholders at different levels.
- Highly analytical, detail-oriented, and self-driven with the ability to manage multiple priorities.
- Familiarity with machine learning concepts is a plus.
Responsibilities
- Develop and deliver prescriptive analytics, business insights, and visualizations to support pricing strategy, campaign performance, and revenue optimization decisions.
- Analyze web analytics and offline datasets to evaluate digital performance and identify opportunities for improvement and customer engagement.
- Research business trends and customer behavior patterns to generate insights that support product and website enhancements.
- Build and maintain dashboards and reporting tools, ensuring stakeholders have access to accurate and timely performance metrics.
- Collaborate cross-functionally with analytics, marketing, and product teams to support strategic initiatives and ad hoc analysis needs.
- Lead or support new analytics initiatives, contributing to the evolution of web and pricing analytics capabilities.
- Apply statistical and quantitative methods to solve business problems and communicate findings to both technical and non-technical audiences.
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