Data Modeling Job Market Trends

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Tableau BI Developer

20-40
Employers
+250%
Growth

A specialist in utilizing Tableau software for business intelligence applications, focusing on data visualization and reporting. Key responsibilities include creating interactive dashboards and optimizing data sources for actionable insights.

Pydantic

200-400
Employers
+247%
Growth

A data validation library for Python popular for its ease of use and efficiency. It ensures data remains consistent and correct when utilized in applications.

Qlik Sense Developer

30-60
Employers
+241%
Growth

Responsible for developing and managing Qlik Sense applications that transform raw data into meaningful insights. Skilled in creating data models, designing dashboards, and ensuring optimal performance while adhering to best practices in data visualization and analytics.

Qlik Developer

50-100
Employers
+188%
Growth

A professional specializing in creating business intelligence reports and dashboards using Qlik Suite tools. Skilled in transforming raw data into valuable insights that drive strategic decisions.

Data Migration Specialist

100-200
Employers
+172%
Growth

Responsible for moving data between systems, ensuring accuracy and integrity during the process. Key to system upgrades and integrations within organizations.

Tableau Developer

200-400
Employers
+167%
Growth

An expert in creating data visualizations using Tableau software to help organizations understand complex data. Primarily focuses on dashboard development, data analysis, and data reporting.

Oracle Database Developer

60-120
Employers
+164%
Growth

A specialist in designing and managing Oracle databases to ensure optimal performance and data integrity. Implements and maintains database solutions for enterprise applications.

Data Modeler

400-800
Employers
+119%
Growth

Designs and creates data models to represent complex data structures, ensuring they meet business requirements and support data analysis.

Data Integration Engineer

150-300
Employers
+117%
Growth

Responsible for designing, developing, and maintaining systems that consolidate data from multiple sources. Key to ensuring data consistency, accessibility, and interoperability across organizational platforms and applications.