Solutions Engineer - Data Visualization
Location
United States
Posted
1 day ago
Salary
$144K - $169K / year
Seniority
Mid Level
Job Description
Solutions Engineer - Data Visualization
SHI International Corp.
Role Description The SHI Services Solutions Engineer, Data Visualization, is a core contributor within our Microsoft Data and AI practice, responsible for designing, developing, and delivering enterprise-grade data visualization and analytics solutions using Microsoft technologies. This role focuses on transforming complex data into clear, accessible, and actionable insights that drive business outcomes. - Design and deliver enterprise Power BI analytics solutions, including dashboards, reports, and semantic models, aligned to business objectives and user needs. - Leverage Tabular Editor, Power Query, and DAX to create optimized dataflows, semantic models, and complex calculations for scalable analytics solutions. - Apply human-centered design (HCD) principles and information design best practices to promote intuitive user experiences and maximize data understanding. - Ensure all deliverables align with WCAG 2 or 508 accessibility standards within the tool capabilities, supporting inclusive analytics that align with user needs. - Lead discovery sessions and collaborate with architects, data engineers, and client stakeholders to translate business questions into effective analytics solutions. - Implement governance, security, and access controls, including Row Level Security and role-based access in compliance with client requirements. - Support client adoption through documentation, training, and post-implementation support. - Contribute reusable assets, standards, and best practices to the Data and AI consulting practice. - Maintain accountability for deliverables, proactively managing risks, dependencies, and quality. - Provide ongoing support for post-implementation activities, including troubleshooting, minor adjustments, and client queries. Qualifications - Bachelor’s degree in Analytics, UX Design, Information Design, Computer Science, or equivalent practical experience. - Three or more years of experience delivering enterprise analytics solutions using Power BI, including semantic modeling, DAX, and performance optimization. - Strong understanding of data modeling concepts and experience working with relational data sources using SQL or equivalent query languages. - Demonstrated application of human centered design principles in analytics or visualization solutions. - Experience working in a consulting or enterprise delivery environment with direct client engagement. - Ability to independently manage multiple deliverables across concurrent projects. - Strong communication skills with the ability to explain technical concepts to both technical and nontechnical audiences. - Understanding of data governance, security, and privacy concepts in analytics solutions. - Commitment to continuous learning in Microsoft cloud and analytics technologies. - Eligible to work in environments handling sensitive government or healthcare data (background check may be required). - Commitment to continuous learning and professional development in modern Microsoft cloud technologies and consulting practices. Requirements - Microsoft Certified: Power BI Data Analyst Associate (PL 300). - Microsoft Fabric Analytics Engineer Associate (DP 600) or obtain within the first year. - Experience working with Microsoft Fabric and Azure analytics services. - Advanced proficiency with Tabular Editor and semantic model lifecycle management. - In-depth understanding of WCAG 2 or 508 accessibility standards and their application in data reporting solutions. - Experience creating custom visuals using Deneb or similar frameworks. - Familiarity with ETL concepts, dimensional modeling, and enterprise analytics architectures. - Experience supporting analytics solutions in regulated or security conscious environments. - Familiarity with Microsoft Fabric and its integration with Power BI for advanced analytics. - Advanced proficiency in Tabular Editor or similar tools for semantic model design and management. - Understanding of data engineering principles, including ETL processes, dimensional modeling, and integration with cloud data platforms. - Experience supporting large-scale enterprise data projects, including secure data handling and compliance requirements. - Knowledge of Azure Data Lake Storage, Synapse Analytics, Azure Databricks, and related Microsoft cloud ecosystem components. - Exposure to data governance practices and the implementation of role-based access controls in analytics solutions. - Exposure to managing access to data leveraging Row Level Security (RLS) and role-based access to reporting artifacts through Power BI apps with internal and external stakeholders. Benefits - Medical, vision, dental, 401K, and flexible spending.
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