Senior Analytics Platform Engineer

Capital Blue Cross•Harrisburg, PA

9h•$102,310 - $190,015

About The Position

The Senior Analytics Platform Engineer administers, governs, engineers, and continuously improves Capital Blue Cross’s enterprise analytics platform, with primary responsibility for Microsoft Power BI and emerging Microsoft Fabric capabilities. The role develops and supports enterprise analytics solutions, reusable semantic models, and platform standards while ensuring the security, reliability, and scalability of the analytics environment. It partners with business and technology teams to deliver trusted, governed, and accessible analytics that support reporting, decision-making, self-service analytics, and AI-enabled solutions. The position also supports platform modernization and roadmap initiatives, evaluates emerging Microsoft and AI capabilities, and develops governed AI-powered analytics solutions and reusable data assets. The engineer provides technical consultation, training, and production support, and communicates platform changes, issues, and capabilities to stakeholders.

Requirements

Seven or more years of experience in business intelligence, analytics, reporting, data platforms, or related technology roles.
Five or more years of hands-on experience developing solutions using Microsoft Power BI.
Three or more years of experience administering Power BI in an enterprise or similarly complex environment.
Experience designing and supporting enterprise reporting solutions, semantic models, and reusable analytics assets.
Experience establishing platform governance, security controls, and development standards.
Experience partnering with business stakeholders to deliver analytics and reporting solutions.
Experience working with SQL, dimensional modeling, and enterprise or cloud-based data platforms.
Bachelor’s degree in Information Technology, Computer Science, Data Analytics, Information Systems, or a related field, or equivalent relevant experience.
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 software development lifecycle, source control, testing, deployment, and operational support practices.
Knowledge of cloud data architecture, data warehousing, and business intelligence concepts.
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 and 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.
Ability to work independently and collaboratively in a fast-paced environment, manage multiple assignments, and adapt to changing business and technical priorities.
Ability to participate in scheduled platform maintenance, releases, or upgrades outside normal business hours when necessary, and provide off-hours assistance for critical platform incidents or time-sensitive production needs when required.
Ability to collaborate effectively with remote and geographically distributed teams.
While performing the job, frequently sit, use hands and fingers, talk, hear, and see; be able to work over 40 hours per week; and occasionally lift and/or move up to 5 pounds.

Nice To Haves

Microsoft Power BI Data Analyst, Fabric Analytics Engineer, Fabric Data Engineer, Azure, or comparable Microsoft certification.
Experience with Microsoft Fabric administration and implementation.
Experience integrating Power BI with Snowflake, Azure, or other enterprise data platforms.
Experience supporting self-service or federated analytics environments.
Experience with analytics automation, deployment practices, or platform modernization initiatives.
Experience developing or supporting AI-enabled analytics solutions.
Healthcare payer, insurance, or other regulated-industry experience.
Familiarity with AI-enabled analytics capabilities and healthcare data environments.

Responsibilities

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, perform root-cause analysis, implement corrective actions, 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, and 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.
Support modernization, consolidation, and lifecycle management of enterprise reporting solutions.
Establish operational standards, service metrics, and usage reporting to support platform governance, adoption, and optimization.
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 on platform capabilities, analytics architecture, semantic models, security, and reporting solutions.
Promote responsible adoption of Power BI, Fabric, and self-service analytics 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 and 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.