
AI-Powered Data Insights Consultant
2 days ago
Data Analysis Specialist
The ideal candidate will thrive in a role that involves leveraging their strong collaboration skills and ability to extract valuable insights from complex data sets. This includes asking the right questions, identifying key trends, and developing actionable recommendations.
Responsibilities
- Analyze raw data: assess quality, cleanse, and structure for downstream processing
- Design accurate, scalable, and efficient prediction algorithms
- Collaborate with engineering teams to transition analytical prototypes into production systems
- Generate insights to drive business improvements and decision-making
- Develop and maintain dashboards and reports for stakeholders
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, machine learning, 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
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