
Lead Quantitative Business Analyst
2 weeks ago
Job Overview
- Data Analyst
The ideal candidate will leverage their analytical skills to drive business improvements and decision-making.
- Drive Insights: Analyze complex data sets to extract valuable insights and ask the right questions
- Collaborate with Teams: Work closely with cross-functional teams to transition analytical prototypes into production systems
- Develop Dashboards: Create actionable insights to drive business improvements and decision-making through dashboards and reports
Required Skills and Qualifications
- Quantitative Background: Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- Analytical Experience: 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning
- Programming Proficiency: Proficiency in programming languages such as Python, R, SQL (knowledge of C/C++/Java is a plus)
- Big Data Frameworks: Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, or Azure)
- Data Visualization: Familiarity with data visualization tools (Tableau, Power BI, or equivalent)
- Problem-Solving: Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders
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