Lead Data Analyst

3 days ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Job Overview

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The data analyst plays a pivotal role in the development and implementation of data models, focusing on statistical analysis under the supervision of senior analysts.

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Key Responsibilities:

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  • Develop and implement statistical models and algorithms to design and implement data-driven solutions.
  • Perform data preprocessing, cleaning, and analysis to prepare datasets for modeling and support higher-level data science initiatives.
  • Learn from and contribute to projects involving predictive analytics, gaining hands-on experience with guidance from senior data analysts.
  • Engage in continuous professional development, enhancing skills in R, Python, and related areas through training and practical experience.
  • Collaborate with team members to ensure effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
  • Support the documentation of methodologies and results to ensure transparency and reproducibility of data science processes.
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Requirements:

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  • Bachelor's degree in Statistics, Mathematics, or a related field, with a strong interest in statistical analysis and data visualization.
  • Experience in a data analyst role, demonstrating practical experience and strong programming skills.
  • Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.
  • Familiarity with data platforms such as Power BI is a bonus.
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Desired Skills:

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  • Solid understanding of statistical principles and practical experience in R programming.
  • Familiarity with data science and machine learning libraries in R (e.g., dplyr, tidyr).
  • Eagerness to learn predictive analytics technologies, with a proactive approach to acquiring new knowledge and skills.
  • Strong analytical and problem-solving abilities, capable of tackling data-related challenges and deriving meaningful insights.
  • Basic industry domain knowledge, with a willingness to deepen expertise and apply data science principles to solve real-world problems.
  • Effective communication skills, with the ability to work collaboratively in a team environment and contribute to discussions.

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