A Senior Data Modeler is a professional responsible for utilizing data analysis tools and techniques to gather, process, and analyze data for the purpose of making informed business decisions. Their play a primary role to design and develop data models and structures that facilitate the extraction, transformation, and visualization of data for decision-making purposes Their job description typically includes the following key responsibilities and qualifications
Job Summary: We are seeking a highly skilled and experienced Senior Data Modeler to join our team. The Senior Data Modeler will be responsible for design and develop data models, utilizing data analysis, data modeling and data visualization tools and techniques necessary to support our data-driven initiatives. This role requires a deep understanding of data engineering concepts, strong programming skills, and expertise in various data processing frameworks and technologies.
Responsibilities:
• Data Modeling: Develop and maintain data models that represent the organization's data in a structured and organized manner. This involves designing data warehouses, data marts, and data cubes.
• Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and ensure efficient data integration and data quality.
• Optimize data workflows and processes to improve data reliability, performance, and scalability.
• Implement and maintain data visualization practices.
• Gather data from multiple sources, ensuring data quality and integrity, and integrate it into a central data repository or data warehouse.
• Create reports, dashboards, and interactive data visualizations using BI tools like Tableau, Power BI, or similar platforms to convey data insights effectively.
• Optimize queries and data processing to improve reporting and dashboard performance.
• Perform data modeling and schema design to support data analytics and reporting requirements.
• Stay up to date with industry trends and emerging technologies in data engineering and recommend innovative solutions to enhance our data infrastructure and processes.
