High-Level Data Analyst

2 days ago

Madurai, Tamil Nadu, India beBeeAnalytics Full time US$ 1,80,000 - US$ 2,50,000
Job Title

A high-level analytics professional is required to deliver integrated data assets and drive personalization opportunities.

As a Senior Analytics Engineer, you will be responsible for processing large datasets, building robust data models, and identifying data quality issues. You will also need to develop visualizations in Tableau and support data science teams with exploratory data analysis and KPI development.

  • Gather and transform raw data into well-built integrated data assets using SQL, AWS Glue or other emerging technologies.
  • Recommend, build and monitor extensible data models that capture business performance from a customer experience lens.
  • Identify and execute data quality testing along critical check points and surface data drift or data anomalies.
  • Maintain a high standard for accuracy of data and build automated processes to catch issues proactively.
  • Develop advanced visualization in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
  • Validate and performance-tune complex SQL queries.
  • Train team members on SQL, AWS and Tableau best practices.
Requirements:
  • Bachelor's degree in computer science, data science or engineering.
  • 3 to 6 years of relevant experience in data-driven solutions.
  • Expert in writing advance/complex SQL queries with strong experience in Python (NumPy & Pandas) and EDA and data processing/data infra tools such as AWS Glue, S3 or Redshift.
  • Proficient with Tableau or Power Bi for advanced visualization.
Preferred Skills:
  • Understanding Gen AI.
  • Working knowledge of statistical/machine learning tools (e.g., scikit-learn).
  • Prior experience with Delta or other airline or Hospitality data a plus.

This role offers an exciting opportunity to contribute to the company's strategic objectives and drive business growth through data-driven insights.

The ideal candidate will have a strong analytical mindset, excellent technical skills, and the ability to work collaboratively with cross-functional teams.

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