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.
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