Senior Analytics Platform Engineer

About this role

Position Description
Base pay is influenced by several factors including a candidate’s qualifications, relevant experience, and anticipated contributions to meet the needs of the business, along with internal pay equity and external market driven rates. The salary range displayed has not been adjusted for geographical location. This range has been created in good faith based on information known to Capital Blue Cross at the time of posting and may be modified in the future. Capital Blue Cross offers a comprehensive benefits packaging including Medical, Dental & Vision coverage, a Retirement Plan, generous time off including Paid Time Off, Holidays, and Volunteer time off, an Incentive Plan, Tuition Reimbursement, and more.
At Capital Blue Cross, we promise to go the extra mile for our team and our community. This promise is at the heart of our culture, and it’s why our employees consistently vote us one of the “Best Places to Work in PA.”
The Senior Analytics Platform Engineer is responsible for the administration, governance, engineering, and continuous improvement of Capital's enterprise analytics platform, with primary responsibility for Microsoft Power BI and emerging Microsoft Fabric capabilities. This role develops and supports enterprise analytics solutions, reusable semantic models, and platform standards while ensuring the security, reliability, and scalability of the analytics environment. The Senior Analytics Platform Engineer partners with business and technology teams to deliver trusted, governed, and accessible analytics capabilities that support reporting, decision-making, self-service analytics, and AI-enabled solutions.
Responsibilities and Qualifications

• Administer and support the enterprise Power BI and Microsoft Fabric environment, including security, workspaces, capacities, gateways, deployment processes, monitoring, and platform configurations.

• Establish and maintain governance standards, development practices, lifecycle controls, security requirements, and operational procedures.

• Ensure platform availability, reliability, performance, scalability, and compliance with enterprise policies and regulatory requirements.

• Monitor platform health, troubleshoot complex issues, implement performance improvements, and support capacity planning and optimization.

• Maintain platform documentation, support procedures, and operational controls

• Design, develop, administer, and optimize reusable semantic models, datasets, dataflows, and other governed analytics assets.

• Establish standards for shared business definitions, measures, calculations, and reporting logic to promote consistency across the organization.

• Partner with business and data governance stakeholders to ensure analytics assets are accurate, trusted, documented, and aligned with enterprise standards.

• Promote reuse of governed analytics assets and reduce duplicate reporting solutions and datasets.

• Design, develop, and maintain dashboards, reports, scorecards, and analytical solutions using Power BI, Fabric, and related Microsoft technologies.

• Develop and optimize DAX calculations, data transformations, visualizations, and reporting logic.

• Create reusable templates, themes, and development standards that improve consistency, usability, accessibility, and maintainability.

• Support the modernization, consolidation, and lifecycle management of enterprise reporting solutions.

• Monitor platform health, availability, performance, capacity, security, and operational effectiveness.

• Establish operational standards, service metrics, and usage reporting to support platform governance, adoption, and optimization.

• Troubleshoot and resolve complex platform issues, perform root-cause analysis, and implement corrective actions.

• Optimize platform configurations, semantic models, reports, refresh processes, and capacity utilization to improve scalability, performance, and cost efficiency.

• Partner with business stakeholders, analysts, developers, and technology teams to deliver scalable analytics solutions and address reporting needs.

• Provide technical consultation, guidance, training, and support related to platform capabilities, analytics architecture, semantic models, security, and reporting solutions.

• Promote responsible adoption of Power BI, Fabric, and self-service analytics capabilities through standards, education, and community engagement.

• Support production analytics environments and communicate platform changes, issues, and new capabilities to stakeholders.

• Evaluate, prototype, and recommend Power BI, Microsoft Fabric, automation, Copilot, and AI-enabled analytics capabilities.

• Support the enterprise analytics platform roadmap and modernization initiatives.

• Participate in architecture discussions involving analytics, reporting, and enterprise data platforms.

• Develop and support governed AI-powered analytics solutions, trusted data assets, and reusable analytics capabilities.

Skills:

• Advanced analytics platform administration and governance skills.

• Strong analytical, troubleshooting, and problem-solving skills.

• Ability to develop scalable semantic models, reusable analytics assets, and reporting solutions.

• Ability to establish and maintain technical standards, governance processes, and development practices.

• Strong communication and consultative partnership skills, including the ability to translate technical concepts into business terms.

• Ability to manage multiple priorities and balance operational support with strategic initiatives.

• Strong collaboration and relationship-building skills across business and technology teams.

Knowledge:

• Advanced knowledge of Microsoft Power BI and Microsoft Fabric platforms.

• Strong understanding of semantic modeling, data visualization, and analytics best practices.

• Knowledge of data governance, security, privacy, metadata, lineage, and information management principles.

• Understanding of…