• Design and develop highly interactive, scalable, and visually compelling dashboards using Power BI and/or SAP Analytics Cloud (SAC) with a strong focus on user experience (UX), storytelling, and self-service analytics enablement.
• Optimize report performance by implementing efficient DAX measures, Power Query (M), SAC scripting, and best-in-class visualization techniques.
• Ensure UI/UX best practices, accessibility, and consistency across enterprise reporting solutions.

• Architect and implement efficient, scalable data models while adhering to best practices for structured and semi-structured data.
• Integrate and transform large datasets from Databricks, SAP Datasphere, EDW solutions, and other cloud platforms for optimal performance.
• Develop and maintain semantic layers and metadata models for optimized data consumption.

• Conduct performance tuning of reports, queries, and models to ensure fast, responsive, and high-performance BI solutions.
• Work closely with data engineers and architects to improve query execution times, caching mechanisms, and overall system efficiency.
• Optimize real-time and batch processing scenarios, ensuring high availability and reliability of reports.

• Implement enterprise-grade security models, including row-level security (RLS), object-level security (OLS), and data access controls.
• Ensure all BI solutions comply with data governance policies, security protocols, and regulatory standards.
• Champion data quality, lineage, and governance frameworks to maintain trusted, accurate reporting.

• Collaborate with business stakeholders, executives, and cross-functional teams to understand requirements and translate them into actionable insights.
• Define and monitor key performance indicators (KPIs) for business units and deliver intuitive, data-driven storytelling dashboards.
• Drive adoption of self-service BI, enabling business users to derive insights independently.

• Stay ahead of emerging BI technologies, including AI/ML-powered analytics, next-generation BI platforms, and data visualization advancements.
• Mentor and coach junior developers, sharing best practices in data visualization, performance tuning, and BI platform engineering.
• Advocate for automation, DevOps for BI, and CI/CD pipelines to streamline deployment and report lifecycle management.

• 10+ years of hands-on experience in enterprise BI development, including Power BI (DAX, M Queries) and/or SAP Analytics Cloud (SAC) at an expert level.
• Strong UI/UX expertise, including data storytelling, design thinking, and interactivity in BI dashboards.
• Expertise in data modeling and transformation, particularly in Databricks, SAP Datasphere, and cloud-based data warehouses (EDW solutions).
• Proficiency in performance optimization techniques for large-scale datasets and complex BI queries.
• Solid experience in data security frameworks, including row-level security (RLS), identity management, and access control within BI tools.
• Excellent problem-solving abilities, able to navigate complex business problems and deliver scalable solutions.
• Strong communication and stakeholder engagement skills, with the ability to convey technical concepts to non-technical audiences.
• Certifications in Power BI, SAP Analytics Cloud (SAC), or related BI tools (preferred).
• Experience in cloud BI architectures (Azure, AWS, GCP) and integration with enterprise platforms.
• Knowledge of DevOps for BI (CI/CD pipelines for Power BI or SAC deployments).
• Experience with AI/ML-driven analytics, predictive modeling, and natural language querying (NLQ) in BI tools.
• Familiarity with Agile development methodologies, JIRA, and enterprise project management tools.

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