Business intelligence developer

4 days ago

Bangalore, India SG Analytics Full time

We are seeking a skilled Business Intelligence Developer to design, develop, and maintain robust BI solutions that transform complex data into actionable insights. The ideal candidate will have a strong foundation in data warehousing, ETL processes, and data visualization. You will play a crucial role in enabling data-driven decision-making across the organization. Responsibilities Develop and Maintain BI Solutions: Design, create, and manage dashboards, reports, and interactive data visualizations using leading BI tools. ETL and Data Modeling: Build and optimize ETL pipelines to integrate data from diverse sources into a centralized data warehouse. Perform data modeling to create logical and physical models that support efficient reporting and analysis. Collaborate and Translate: Partner with business stakeholders to gather and translate business requirements into technical specifications for BI projects. Work with data engineers and analysts to ensure data quality, consistency, and accuracy. System Performance and Support: Ensure the security, availability, and performance of BI systems. Troubleshoot and resolve issues related to data accuracy, report performance, and user access, and maintain existing reports based on user feedback. Experience: 5 to 7 years of professional experience as a BI Developer or in a similar data-focused role. Immediate to 15 days joiner preferred Technical Skills: Proficiency with BI tools such as Power BI, Tableau, Looker, or Qlik View . ( Power BI and Tableau is Mandatory ) BFSI Industry exp is Mandatory. Strong SQL skills and experience with relational databases (e.g., SQL Server, Postgre SQL, My SQL). Experience with ETL tools like SSIS, Talend, or Informatica. Knowledge of data warehousing concepts and best practices. Strong analytical and problem-solving abilities with excellent communication and collaboration skills. Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with scripting languages like Python or R for data manipulation and automation. Understanding of Agile or Scrum development methodologies. Experience with performance tuning and optimization of large datasets and complex queries.

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