Data Engineer-Business Intelligence

Introduction

Your Role And Responsibilities

• Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
• Your primary responsibilities include:
• Design, develop, and maintain interactive dashboards and visualizations in Tableau to meet business requirements.
• Ensure dashboards are visually compelling and user-friendly, while effectively communicating insights
• Connect to various data sources (e.g., SQL databases, Excel, APIs, cloud-based data, etc.) and extract data for analysis.
• Perform data blending and ensure data accuracy when integrating multiple data sources.
• Optimize dashboards for performance and speed by reducing load times and improving visual efficiency.
• Create calculated fields, table calculations, and dynamic filters to support data analysis and visualization.
• Continuously maintain and update Tableau workbooks and dashboards to reflect new business requirements.
• Work closely with business users to understand reporting needs and translate them into effective Tableau solutions
  

Preferred Education

Required Technical And Professional Expertise

• Strong ability to write complex queries for data extraction, transformation, and analysis.
• Skilled in optimizing query performance and ensuring data integrity.
• Hands-on experience in designing interactive dashboards and visualizations using Tableau.
• Expert in Tableau calculations, parameters, filters, and dashboard action
• Experience in using DAX (Data Analysis Expressions) for calculations and KPIs
  

Preferred Technical And Professional Experience

• Strong Analytical and Problem-Solving Skills
• Skilled in handling messy or incomplete data and transforming it into usable formats
• Comfortable working with cross-functional teams including business stakeholders, data engineers, and developers