Business Intelligence Analyst II at Summit Utilities, transforming data into insights for operational excellence. Collaborating across departments and developing dashboards for strategic decision-making.
Responsibilities
The Business Intelligence Analyst II is a mid-level, high-impact contributor accountable for converting business questions into actionable insights that accelerate operational excellence and strategic decision-making.
Insight Delivery & Dashboard Development: Lead the design, build, and enhancement of dashboards, scorecards, and reports that anchor our enterprise KPI framework.
Requirements Gathering & Business Engagement: Facilitate structured discovery sessions to extract true business needs, challenge assumptions, and shape clear requirements.
Analytics & Data Exploration: Perform analysis on complex datasets to identify trends, anomalies, risks, and improvement opportunities.
Cross-functional Collaboration: Partner with Operations, Finance, Customer Experience, Regulatory, IT, and other business units to ensure analytics meet strategic needs.
Self-Service Enablement & Adoption: Support training and user enablement efforts that build data literacy across the organization.
Continuous Improvement & Governance: Adhere to BI governance processes including metadata documentation, version control, and dashboard lifecycle management.
Requirements
Bachelor’s degree in Business, Data Analytics, Information Systems, Economics, Engineering, or related field—or equivalent experience.
5+ years of hands-on experience in BI development, analytics, or data visualization roles.
Strong proficiency in Power BI (or similar tools) including DAX, data modeling, and dashboard design.
Demonstrated ability to translate business problems into analytic solutions and present insights to non-technical audiences.
Experience working with relational databases, SQL, and complex data models.
Proven ability to manage competing priorities, engage stakeholders, and deliver in a dynamic environment.
Experience in utilities, energy, infrastructure, or regulated industries.
Exposure to Microsoft Fabric or modern cloud analytics platforms.
Background with KPI frameworks, performance management, or operational analytics.
Familiarity with semantic modeling, certified data products, or data governance programs.
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