Analytics Lead - Power BI

Job Description

Required Skills and Experience Technical Expertise : Proficient in Power BI and related technology including MSFT Fabric, Azure SQL Database, Azure Synapse, Databricks and other visualization Hands-on experience with Power BI , machine learning and AI services in Azure. Excellent data visualization skills and experience Professional Experience : 12+ years of experience in Power BI Development, with demonstrable experience designing high-quality models and dashboards using Power BI, transforming raw data into meaningful insights 8+ years experience using Power BI Desktop, DAX, Tabular Editor and related tools 5+ Years experience using Power BI Premium capacity administration 5+ Years SQL development experience Comprehensive understanding of data modelling, administration, and visualization Good knowledge and understanding of Data warehousing conceptions, Azure Cloud databases, ETL (Extract, Transform, Load) framework Leadership and Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and align teams on strategic goals. Experience in leading cross-functional teams and managing multiple concurrent projects. Certifications (Preferred) : Relevant certifications in Power BI, machine learning, AI, or enterprise architecture. Key Competencies Expertise in data visualization tools such as Power BI or Tableau. Expertise in creating semantic models for reporting Familiarity with the Microsoft Fabric technologies including One Lake, Lakehouse and Data Factory Strong understanding of data governance, compliance, and security frameworks . Familiarity with DevOps and Infrastructure as Code (IaC) tools like biceps or Azure Resource Manager (ARM) templates. Proven ability to drive innovation in data strategy and cloud solutions . A deep understanding of business intelligence workflows and the ability to align technical solutions Strong database design skills, including an understanding of both normalised form and dimensional form databases. In-depth knowledge and experience of data-warehousing strategies and techniques e.g., Kimball Data warehousing Experience in Cloud based data integration tools like Azure Data Factory Experience in Azure Dev Ops or JIRA is a plus Experience working with finance data is highly desirable Familiarity with agile development techniques and objectives on skills and experience