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Mid-level metro role and general BI demand increase competition, but Power BI specialization reduces applicant density.
Power BI and BI skills are transferable across industries, though life-sciences preference raises domain sensitivity.
Explicit 5+ years plus mandatory Power BI/DAX/semantic modeling and certification suggests high shortlisting strictness.
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Design, develop, and scale enterprise Power BI semantic models and dashboards to drive operational and financial insights across multiple business units.
Own KPI governance, business intelligence architecture, and operational analytics by partnering with stakeholders to ensure data accuracy and actionable reporting.
Lead governance, data access controls, dashboard deployment, and enablement of self-service analytics to reduce ad hoc reporting and promote BI best practices.
Bachelor’s or master’s degree in Data Analytics, Business Intelligence, Information Systems, Computer Science, or related field.
Microsoft Power BI Data Analyst Professional Certificate.
5+ years of experience designing and developing enterprise Power BI solutions.
Strong technical skills in Power BI Service, DAX, Semantic Modeling, Power Query (M), SQL, and data visualization best practices.
Experienced in enterprise-scale Power BI development and governance with a focus on semantic modeling and KPI frameworks.
Able to collaborate effectively with cross-functional teams including Finance, IT, and Business Operations to validate data and ensure alignment with governance standards.
Prior exposure to life sciences, clinical research, or laboratory operational environments is preferred but not mandatory.