
Advanced Data Analysis Specialist
2 weeks ago
The ideal candidate will leverage strong collaboration skills and ability to extract valuable insights from complex data sets to ask the right questions and find the right answers. They will work in an agile environment where learning is key.
Key Responsibilities:
- Collect, assess and structure raw data for downstream processing
- Design accurate, scalable and efficient predictive models
- Collaborate with engineering teams to transition analytical prototypes into production systems
- Develop and maintain dashboards and reports for stakeholders
Required Skills and Qualifications:
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning
- Strong understanding of predictive modeling, clustering, classification techniques and algorithms
- Proficiency in programming languages such as Python, R, SQL (knowledge of C/C++/Java is a plus)
- Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, or Azure)
- Familiarity with data visualization tools (Tableau, Power BI, or equivalent)
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders
What We Offer:
- Competitive salary and benefits package
- A dynamic and collaborative work environment
- Opportunities for growth and professional development
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