BI Developer

Essential Duties and Responsibilities
• Design, develop, and maintain interactive dashboards and reports using Power BI/SplashBI.
• Write optimized SQL queries, stored procedures, and data extraction logic.
• Develop data models and visualizations to support business reporting and analytics requirements.
• Analyze large datasets and transform raw data into meaningful insights for business users.
• Work closely with business stakeholders to gather reporting and dashboard requirements.
• Create visually appealing dashboards with a strong focus on usability and user experience.
• Ensure data accuracy, consistency, and performance optimization of reports and dashboards.
• Support enhancement, troubleshooting, and maintenance activities for BI solutions.
• Collaborate with Data Engineering and ETL teams for data integration and validation.
• Perform data analysis and validation to support business decisions and operational reporting.
• Prepare technical documentation for reports, dashboards, and data models.
• Participate in project discussions, requirement analysis, testing, and deployment activities.
• Work with cross-functional and remote teams to deliver analytics solutions on time.

Required Skills
• 2+ years of hands-on experience in Power BI development.
• Strong knowledge of SQL queries, joins, views, aggregations, and query optimization.
• Experience creating dashboards, KPIs, scorecards, and analytical reports.
• Strong understanding of Data Visualization concepts and best practices.
• Experience working with relational databases such as SQL Server, Oracle, or PostgreSQL.
• Good analytical, problem-solving, and troubleshooting skills.
• Basic understanding of ETL and Data Warehousing concepts.
• Good verbal and written communication skills.
• Self-motivated with the ability to manage multiple tasks and priorities.
• Strong attention to detail and commitment to quality deliverables.

Plus Skills
• Experience with Tableau or other BI tools.
• Knowledge of Power BI security models such as RLS/OLS.
• Experience with Azure, Databricks, or cloud-based analytics platforms.
• Basic knowledge of Python or scripting languages.
• Experience with APIs and data integrations.
• Knowledge of Agile/Scrum methodologies.
• Exposure to AI/ML analytics or predictive reporting is a plus.