
Unlock Insights
2 days ago
About the Role:
The ideal candidate will be skilled in data-driven decision-making and leverage collaboration skills to extract valuable insights from complex datasets.
- Analyze raw data: assess quality, cleanse, and structure for downstream processing
- Design accurate, scalable, and efficient algorithms
- Collaborate with cross-functional 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
Required Skills and Qualifications:
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering)
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning
- 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
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders
What We Offer:
The role requires expertise in statistical analysis, data mining, and predictive modeling to deliver actionable insights. The Data Analyst will work closely with cross-functional teams to develop and implement data-driven solutions.
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