Visualization and Analytics Engineer (BIaaS)

To research, evaluate, design, implement, and maintain systems and product solutions, applying expert knowledge of engineering principles. Assist with coordinating activities between multiple disciplines within IT and vendors on both technical and non-technical issues pertaining to computer system hardware and software, network infrastructure, peripheral evaluation, and integration. Considered subject matter expert and a key stakeholder/key contributor on complex initiatives and project teams. Conduct complex work assignments under limited supervision. Data Engineering (AI/ML/NLP): Develop a strategy and partners with delivery teams to design, develop and maintain efficient and high-quality integrations connecting data, applications and third parties that support business processes and customer needs.

• Responsible for designing and implementing data analytics and visualizations that will help users understand complex data and make informed business decisions.
• Combine deep understanding of our member experience, with passion for data visualization and user experience to streamline, optimize, and innovate analytical interfaces that are easily absorbed, heavily adopted and drive high quality business decision making.
• Establish and communicate standards and best practices for constructing and delivering interactive data visualizations, dashboards, scorecards, and insights.
• Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions.
• Ensure structure and representation of data are optimized for clarity and reusability to deliver actionable insights for stakeholders.
• Stay updated on industry trends and best practices in data visualization to continuously improve visualizations.
• Implement Augmented Analytics powered by AI, ML and NLP features/capability in our anchor BI platforms to drive enterprise adoption and success in insight generation and collaboration. 
• Champion visualization and analytics solutions across BUs developing self-service capabilities, providing training, establishing best practices, and collaborating effectively.
• Maximize the value of new and existing solutions by driving adoption and enhance solution integrity through proactive monitoring and support.
• Rebuild and migrate dashboards/reports from legacy BI platforms and on-prem data sources to cloud native BI platforms and cloud data sources.
• Lead the evaluation and implementation of new analytics platform capabilities to serve business stakeholder needs.
• Track performance monitoring, usage reporting, access, and license management for BI toolset.
• Provide scalable solutions for handling large data volumes, complex, and interactive reporting.
• Lead the preparation of high-quality project deliverables that are valued by the business and presents them in such a manner that they are easily understood by project stakeholders.
• Act as technical SMEs to drive the delivery of analytics and data project using Agile methodology.
• Serve as a Subject Matter Expert in data BI, and Analytics.
• Perform other duties as assigned.

• Proven expertise with using enterprise anchor BI platforms Tableau, Power BI, or similar.
• Experience with Augmented Analytics capabilities including integration and roll out of Power BI Copilot, Tableau Pulse or similar. 
• Bachelor’s degree in computer science or related field, or the equivalent combination of education, training, and experience.
• Experience with UI/UX design principles to develop immersive, interactive, and intuitive visualizations.
• Experience communicating end to end data outcomes visually and through story telling.
• Significant experience in delivering data analytics solutions to accelerate business decisions. 
• Experience working with Python, R, and SQL for Big Data Analytics.
• Experience in documenting BI standards, training end users, and communicating with analytics user communities. 
• Experience working with Agile teams in productionizing capabilities at scale ensuring high availability and performance in Azure or similar cloud.
• Experience with Azure Data Factory and Azure Databricks ETL.
• Experience with Azure Synapse.
• Demonstrated ability to collaborate and work with cross-functional teams in a dynamic environment.
• Analytical mindset with a strong ability to translate complex data into actionable business insights.
• Demonstrate change management and evangelize adoption of analytics capabilities in Cloud.
• Strong communication and presentation skills and executive presence.
• Significant experience leading analysis, design, and architecture efforts.
• Advanced knowledge of project lifecycles and management methodologies.

Desired Qualifications