
Lead Data Analyst
2 weeks ago
The primary objective of this role is to extract valuable insights from complex data sets, asking the right questions and finding the right answers.
Key Responsibilities- Analyze raw data to assess its quality, cleanse and structure it for downstream processing.
- Design accurate, scalable and efficient prediction algorithms.
- Collaborate with engineering teams to transition analytical prototypes into production systems.
- Generate actionable insights to drive business improvements and decision-making.
- Develop and maintain dashboards and reports for stakeholders.
Qualifications
- A bachelor's or master's degree in a quantitative field such as statistics, mathematics, computer science, engineering, etc.
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning.
- A strong understanding of predictive modeling, machine learning, clustering, classification techniques and algorithms.
- Proficiency in programming languages such as Python, R, SQL.
- Hands-on experience with big data frameworks and cloud environments.
- Familiarity with data visualization tools.
- A strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders.
Benefits
This role offers a dynamic and challenging work environment, where you will have the opportunity to develop your skills and advance your career. You will be part of a team that is passionate about innovation and excellence, and you will have the support and resources you need to succeed.
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