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Senior Data Analyst

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:


  • Extract, clean, and analyze large datasets to identify patterns and trends.
  • Develop and maintain dashboards and reports to monitor business performance.
  • Work with cross-functional teams to improve data accuracy and accessibility.
  • Drive data strategy, customer segmentation, and portfolio risk analysis.
  • Contribute to AI-driven product innovations.


Required skills & Qualifications:


  • Education: Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
  • Proficiency in Python for statistical modeling, and exploratory data analysis, with hands-on experience in libraries such as Pandas, NumPy, Matplotlib, Seaborn, and scikit-learn.
  • Expert-level SQL capabilities for querying relational databases and performing data extraction and transformation.
  • Exposure to Tableau for developing dashboards and generating business insights.
  • Strong analytical thinking, with a focus on problem synthesis, root cause analysis, and data storytelling.
  • Experience with machine learning, deep learning, and natural language processing (NLP) is preferred.
  • Strong communication and storytelling skills.

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