Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. We are seeking a skilled Data Visualization Engineer to join our team and support analytics and reporting initiatives using a modern Microsoft-based data stack. This role focuses on building clear, scalable, and business-focused dashboards and reporting solutions using Power BI, SQL, and Python, helping stakeholders turn data into actionable insights. Role & Responsibilities: Design, build, and maintain interactive dashboards and reports using Power BI. Translate business requirements into clear and effective visualization solutions. Develop and optimize SQL queries, views, and datasets to support reporting and analytics needs. Work with data engineers, analysts, and business stakeholders to ensure data is accurate, accessible, and aligned with reporting requirements. Create and maintain reusable reporting models, KPIs, and metrics definitions. Support data preparation, transformation, and validation using SQL, Python, and Power BI tools. Optimize dashboard performance, usability, and data refresh reliability. Contribute to reporting standards, documentation, and visualization best practices. Help ensure consistent, high-quality reporting across teams and business functions. Support continuous improvement of analytics and visualization processes. \n Hard Skills - Must have: Strong hands-on experience with Power BI dashboard and report development. Strong SQL skills for querying, transforming, and validating data. Experience building reporting datasets, semantic models, or data models for analytics. Proficiency in Python for data analysis, automation, or data preparation tasks. Solid understanding of data visualization principles and best practices. Experience working with relational databases such as SQL Server, Azure SQL, PostgreSQL, or similar. Ability to work with large datasets and transform business questions into actionable visual insights Hard Skills - Nice to have/It's a plus: Experience with Microsoft Fabric and/or other Microsoft analytics platform tools. Experience with DAX, Power Query, and performance tuning in Power BI. Familiarity with data modeling concepts for BI and reporting. Experience working closely with data engineering teams in Azure-based environments. Exposure to governance, security, and access management for reporting solutions. Experience in consulting environments and working with distributed teams. Soft Skills / Business Specific Skills: Strong analytical and problem-solving skills. Clear communication skills, with the ability to explain insights and technical concepts to non-technical stakeholders. Strong attention to detail and a user-focused mindset. Ability to work effectively in cross-functional and distributed teams. Proactive mindset with a strong sense of ownership. \n