Analytical Data Specialist

1 week ago

Nellore, Andhra Pradesh, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Opportunity

As a highly skilled Senior Analytics Engineer, you will play a pivotal role in delivering high-quality integrated data assets that support creating analytical models and visualizations. You will derive insights that drive personalization opportunities and think at scale considering the needs of analysts and data scientists.

You will have top-notch technical skills, strong analytics exposure, and an understanding of our customer journey to help drive decisions throughout the organization.

Key Responsibilities:
  1. Gather and transform large sets of raw data into well-built integrated data assets using SQL, AWS Glue, or other emerging technologies.
  2. Recommend, build, and monitor robust and extensible data models that capture business performance from a customer experience lens.
  3. Identify and execute data quality testing along critical checkpoints and surface data drift or data anomalies.
  4. Maintain a high standard for accuracy of data and build automated processes to catch issues proactively.
  5. Be the expert in critical customer experience data assets and maintain a catalog for reference.
  6. Lean into developing visualizations in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
  7. Validate and performance-tune complex SQL queries.
  8. 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 advanced/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.
  • Focused on 60% data infrastructure + 40% analytics.
Competitive Advantage:
  • Understanding Gen AI.
  • Working knowledge of statistical/machine learning tools (e.g., scikit-learn).
  • Prior experience with similar industries a plus.
  • Self-motivated and take pride in building great products for key stakeholders.
  • Resourceful in finding the data and tools you need to get the job done.
  • Not afraid to ask for help when you need it or help teammates when they need a boost.

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