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Quantitative Business Analyst

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Anantapur, Andhra Pradesh, India beBeeDataAnalyst Full time ₹ 12,00,000 - ₹ 25,00,000

We are seeking an exceptional Data Insights Specialist to drive business growth through data-driven strategies.

About the Role

The ideal candidate will possess a unique blend of analytical skills, technical expertise, and business acumen. As a key member of our team, you will be responsible for extracting valuable insights from complex data sets, identifying trends, and making informed recommendations to drive business improvements.

In this role, you will work closely with cross-functional teams to design and implement data-driven solutions, leveraging your expertise in predictive modeling, machine learning, and data visualization. Your strong problem-solving skills and ability to communicate complex concepts to non-technical stakeholders will be invaluable in driving business outcomes.

Key Responsibilities
  • Analyze raw data to assess quality, cleanse, and structure for downstream processing.
  • Design accurate, scalable, and efficient prediction algorithms to inform business decisions.
  • Collaborate with engineering teams to transition analytical prototypes into production systems.
  • Develop and maintain dashboards and reports to provide actionable insights to stakeholders.
Requirements
  • 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.