Data Analytics and Visualization Engineer

We are seeking a Data Analytics and Visualization Engineer to design, architect, and optimize enterprise-grade reporting and analytics solutions. This role is ideal for a senior professional with deep expertise in Microsoft Power BI, advanced data modeling, SQL, and modern analytics architectures, capable of driving reporting standards and collaborating across cross-functional teams. Responsibilities Design and implement scalable, governed reporting architectures using Microsoft Power BI Define strategies for semantic models, dataset architecture, workspace governance, and report scalability Develop and optimize complex dashboards, interactive visualizations, and executive-level reports Create advanced DAX measures, calculated columns, and reusable reporting components Configure row-level security (RLS) and implement robust data access controls Collaborate with data engineers and stakeholders to define, validate, and optimize curated datasets Ensure data transformations comply with enterprise standards and maintain high data quality Monitor, troubleshoot, and optimize report and dataset performance Establish best practices for report lifecycle management, deployment, and governance Implement CI/CD pipelines and version control strategies for Power BI artifacts Ensure compliance with security, governance, and regulatory requirements Define documentation standards, naming conventions, and reporting development guidelines Mentor team members and contribute to continuous improvement of analytics and visualization practices Requirements 3+ years of experience in Business Intelligence, Analytics Engineering, Data Analytics, or a related field Strong expertise in Microsoft Power BI (Desktop and Service), including advanced DAX and enterprise data modeling (star/snowflake schemas) Strong proficiency in SQL for Data Analytics, including writing and optimizing complex queries Solid experience with Data Analytics and Visualization and modern Data Visualization Tools Experience designing enterprise-scale reporting and analytics solutions Strong understanding of data warehousing concepts and modern analytics architecture Experience with cloud data platforms, preferably Microsoft Azure; experience with Databricks is a plus Knowledge of CI/CD practices, version control, and Power BI deployment pipelines Strong analytical, problem-solving, and stakeholder communication skills English proficiency at B2 level or higher