Mandatory Skills:
  • Strong verbal and written communication skills with regular status reporting and stakeholder updates.
  • Ability to independently estimate, manage, and deliver assigned tasks within deadlines.
  • Strong ownership, accountability, and problem-solving mindset.
  • Good understanding of SDLC, data visualization best practices, testing, and review processes.
  • Ability to proactively identify risks, dependencies, and potential issues early in the development lifecycle.
  • Ability to validate approaches, seek guidance when required, and minimize rework through effective planning and communication.
  • Ability to proactively understand business requirements, seek clarifications, and communicate effectively with team members and clients.
  • Experience working in Agile development environments.
  • Ability to mentor junior team members and contribute to knowledge-sharing initiatives.

Preferred Skills:
  • Strong analytical, logical reasoning, and data interpretation skills.
  • Experience conducting peer reviews and providing constructive, actionable feedback.
  • Ability to actively participate in reviews and continuously improve based on feedback received.
  • Good documentation and technical communication skills.
  • Proactive approach toward continuous learning, certifications, and skill enhancement.
  • Ability to translate business requirements into meaningful reports, dashboards, and analytical solutions.
  • Experience leveraging AI-assisted development tools for report development, debugging, testing, documentation, and productivity improvement.
  • Growth mindset with a focus on continuous improvement and quality delivery.

Technical Skills:
  • Strong experience in Power BI report, dashboard, and semantic model development.
  • Proficiency in DAX, Power Query (M Language), and data modeling techniques.
  • Experience with Power BI Service, workspace management, deployment, security, and governance.
  • Strong knowledge of SQL, relational databases, and query optimization.
  • Experience in ETL processes, data transformation, and integrating data from multiple sources.
  • Knowledge of data warehousing concepts, dimensional modeling, and BI best practices.
  • Familiarity with Azure Data Services, Dataflows, and cloud-based analytics solutions.
  • Understanding of Row-Level Security (RLS), data governance, performance optimization, testing, and troubleshooting.
  • Experience with Power Platform integrations, including Power Apps and Power Automate.
  • Experience with Git, Azure DevOps, CI/CD, and source control best practices.