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Data Insight Specialist
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Unlock the Power of Data Insights
The ideal candidate thrives in an environment of learning, data-driven decision making, and technological agility. To succeed in this role, you will leverage your strong collaboration skills and ability to extract valuable insights from complex data sets.
About the Role- Analyze raw data: assess quality, cleanse, and structure for efficient 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.
- 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.
This role plays a critical part in driving business growth through data-driven decision making.
