A Power BI Developer is responsible for designing, developing, and maintaining interactive dashboards and reports that enable data-driven decision-making across the organization. The role involves working closely with business stakeholders, data engineers, and analysts to translate complex data into clear, actionable insights.

The developer will leverage a strong data warehouse foundation to build efficient data models, optimize report performance, and ensure data accuracy. Key responsibilities include creating visually compelling dashboards aligned with UI/UX standards, developing DAX calculations, managing data transformations, and implementing best practices for scalability and governance.

The ideal candidate should have solid experience with Power BI, strong SQL skills, and a good understanding of data modeling concepts. Experience working with cloud data platforms like Snowflake or Azure, along with familiarity in handling large datasets and performance tuning, is highly desirable. Strong communication skills and the ability to understand business requirements are essential for success in this role.

We are seeking 4-6 Years of experienced Power BI Developer to design, develop, and enhance dashboards and reports that drive data-driven decision-making. This role requires a strong blend of technical expertise, business understanding, and adaptability to emerging technologies, including AI-driven capabilities in the analytics space.

Key Responsibilities:

1. Power BI Technical Expertise

• Design, develop, and maintain interactive dashboards and reports using Power BI

• Build and optimize data models, including relationships, measures, and calculated columns using DAX

• Ensure report performance optimization, scalability, and adherence to best practices

• Implement Row-Level Security (RLS) and manage data access controls

• Align dashboards with modern UI/UX standards to improve usability and user experience

2. Business Understanding

• Collaborate with stakeholders to gather and translate business requirements into meaningful visualizations

• Understand key business metrics, KPIs, and domain-specific data to ensure relevant and actionable insights

• Proactively suggest improvements to existing dashboards to enhance business value

• Bridge the gap between technical data structures and business needs

3. SQL & Data Validation Skills

• Write complex SQL queries to extract, analyze, and validate data from various sources

• Perform data validation and reconciliation between Power BI reports and underlying data sources

• Work closely with data engineering teams to ensure data accuracy and consistency

• Troubleshoot data issues and identify root causes

4. Adaptability to AI & Emerging Technologies

• Stay updated with evolving Power BI features, including AI-driven capabilities (e.g., Copilot, automated insights)

• Leverage AI tools to enhance report generation, data analysis, and productivity

• Explore opportunities to integrate AI/ML-driven insights into dashboards

• Continuously learn and adopt modern data and analytics trends