
Data Analyst Lead
2 days ago
About Our Data Hub:
We are a global leader in innovation, reliability, and customer experience. Our technology hub is designed to contribute directly to these objectives by delivering niche, high-value solutions.
Job Description:
Our team seeks a Senior Analytics Engineer responsible for delivering high-quality integrated data assets that support creating analytical models and visualizations. The successful candidate will have top-notch technical skills and strong analytics exposure to help drive decisions throughout the organization.
Key Responsibilities:
- Gather and transform large sets of raw data into well-built integrated data assets using SQL, AWS Glue or other emerging technologies.
- Recommend, build, and monitor robust and 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.
- Be the expert in critical customer experience data assets and maintain a catalog for reference.
- Lean into developing visualizations 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 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.
A Competitive Edge:
- Understanding Gen AI.
- Working knowledge of statistical/machine learning tools (e.g., scikit-learn).
- Prior experience with similar industries or data 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.
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