Lead Power BI Developer

A Business Intelligence developer or BI developer is able to leverage software tools and transform these data to get useful insights from them which will heavily impact business in taking decisions. The Power BI Developer works with product managers, scientists, analysts, and users to understand product vision, scope, priorities, and scientific requirements, then creates reports to summarize and visualize the data. Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable. Technical Requirements: 5+ years of experience in Power BI development, including data modelling, DAX, and Power Query . Strong background in data analysis, SQL, and experience with data warehousing and ETL processes. Familiarity with Databricks for data storage, cleansing, and warehousing to support Power BI integration. Proven track record of delivering large-scale Power BI projects in a corporate or enterprise environment. Proficient in DAX, M language (Power Query), and data modelling principles. Experience with RLS (Row-Level Security) and deploying Power BI reports across multiple environments. Familiarity with agile project management tools and processes to support iterative development. Understanding of version control and collaborative development practices (e.g., Git, DevOps). Responsibilities: Leadership and Development: Lead the development, implementation, and maintenance of Power BI reports, dashboards, and analytical solutions. Build and maintain complex data models, including data warehousing, DAX calculations, and optimized Power BI solutions to support scalable insights. Design and implement role-based security models and user access within Power BI to protect sensitive data. Maintain and optimize Power BI datasets, reports, and workspace structures for efficient access and management. Collaborate with data engineering teams using Databricks to source, clean, and load data, ensuring high data quality and alignment with Power BI requirements. Data Governance and Quality: Collaborate with data governance teams to implement consistent data definitions, naming conventions, and standards across Power BI reports and models. Ensure data accuracy and reliability by implementing data validation, error handling, and troubleshooting methodologies. Create and maintain documentation on data sources, transformations, and business logic in Power BI to support data literacy and transparency across teams. Stakeholder Engagement and Support: Work closely with stakeholders to understand their data needs, translating business requirements into actionable Power BI solutions. Act as the main point of contact for Power BI-related projects, leading workshops, demonstrations, and training sessions to upskill business users. Provide end-user support, troubleshooting Power BI-related issues, and continuously seek user feedback to enhance reporting solutions. Project Management and Team Leadership: Oversee and manage a team of Power BI developers and analysts, providing guidance, setting standards, and promoting best practices. Coordinate with cross-functional teams (e.g., data engineering, IT, and business departments) to align Power BI solutions with broader data initiatives. Utilize agile methodologies to manage project workflows, ensuring efficient, iterative development cycles, quick issue resolution, and alignment with evolving business needs. Responsibilities: Leadership and Development: Lead the development, implementation, and maintenance of Power BI reports, dashboards, and analytical solutions. Build and maintain complex data models, including data warehousing, DAX calculations, and optimized Power BI solutions to support scalable insights. Design and implement role-based security models and user access within Power BI to protect sensitive data. Maintain and optimize Power BI datasets, reports, and workspace structures for efficient access and management. Collaborate with data engineering teams using Databricks to source, clean, and load data, ensuring high data quality and alignment with Power BI requirements. • Data Governance and Quality: Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.