
Advanced Data Insights Specialist
3 days ago
About our Technology Hub:
We are a global leader in innovation, safety and customer experience. Our employees have enabled us to lead the airline industry in operational excellence while maintaining our reputation for award-winning customer service.
Our goal is to foster understanding across a diverse world and serve as a force for social good. We strive to maintain a strong focus on innovation, technology, and customer experience.
Job RoleAs a Senior Data Analyst, you will be responsible for delivering high-quality data insights that support business decisions. You will derive actionable information from large datasets using statistical analysis and visualization techniques.
The successful candidate will have top-notch technical skills, strong analytical exposure, and understanding of our business processes to help drive strategic decisions throughout the organization.
Key Responsibilities:- Collect, transform and store 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 data-driven lens.
- Identify and execute data quality testing along critical check points and surface data drift or anomalies.
- Maintain a high standard for accuracy of data and build automated processes to catch issues proactively.
- Be the expert in critical 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.
- 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 tools such as AWS Glue, S3 or Redshift.
- Proficient with Tableau or Power Bi for advanced visualization.
- Familiarity with Agile methodologies and collaboration tools.
- Understanding of machine learning algorithms and statistical modeling.
- Working knowledge of data warehousing and data governance.
- Self-motivated and take pride in building great products for key stakeholders.
- Resourceful in finding the data and tools needed to get the job done.
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