Key Responsibilities:

Analyze Complex Data: Delve into extensive datasets to uncover trends and patterns using SAS, SQL, Python, and other tools.
Visualize Insights: Create intuitive dashboards and visualizations to convey actionable insights.
Ensure Data Accuracy: Implement thorough data validation and cleansing procedures.
Drive Innovation: Explore advanced data modeling techniques and contribute to ETL process enhancement.
Support Business Initiatives: Conduct ad-hoc analysis and generate reports to support strategic initiatives.
Stay Informed: Stay updated on industry trends to apply the latest analytics methodologies effectively.

Qualifications:

Bachelor's degree in Mathematics, Data Science, Computer Science, Statistics, or a related field.
Minimum of 5 years' experience in a similar role.
Proficiency in Google Looker, BigQuery, SQL, and data visualization tools such as Tableau and PowerBI.
Strong programming skills in SAS, Python, or R.
Solid understanding of data warehousing concepts and ETL processes.

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