Compunnel
We are seeking a highly skilled Lead Data Analyst to design, develop, and manage transactional and analytical data structures.
This role involves maintaining data quality, organizing metadata, profiling data, and generating actionable insights.
The ideal candidate will have strong expertise in SQL, Python, and data visualization tools such as Tableau or QuickSight, and will collaborate closely with analysts and product managers to translate data into strategic insights.
Key Responsibilities
Design, develop, and administer data constructs and structures for transactional and analytical purposes.
Maintain data quality, organization, metadata, and profiling standards.
Generate insights from complex datasets and identify trends and patterns.
Visualize data using tools such as Tableau or QuickSight.
Automate and optimize data processing scripts using Python and Databricks.
Collaborate with data analysts, business analysts, and product managers to translate business needs into data-driven insights.
Required Qualifications
Strong proficiency in SQL for data querying and manipulation. Hands-on experience with Tableau for data visualization. Proficiency in Python for data automation and analysis. Experience working in collaborative, cross-functional teams. Solid understanding of data structures, profiling, and metadata management. Preferred Qualifications
Experience with Databricks or similar data engineering platforms. Familiarity with cloud-based data visualization tools such as Amazon QuickSight.
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Strong proficiency in SQL for data querying and manipulation. Hands-on experience with Tableau for data visualization. Proficiency in Python for data automation and analysis. Experience working in collaborative, cross-functional teams. Solid understanding of data structures, profiling, and metadata management. Preferred Qualifications
Experience with Databricks or similar data engineering platforms. Familiarity with cloud-based data visualization tools such as Amazon QuickSight.
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