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Tier-1 brand, metro location, and mid-level experience, but specialized Power BI semantic modeling reduces applicant pool.
Core Power BI and BI skills are transferable, but risk-domain and enterprise BI experience increases specificity.
Explicit 4-6 year requirement plus mandatory semantic modeling, DAX, and GitHub increases shortlisting rigor.
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Analyze and integrate data from multiple risk-related systems to support enterprise risk data aggregation and reporting.
Design, develop, and deploy interactive Power BI dashboards and paginated reports including building semantic models optimized for analytics.
Implement data governance, performance optimization, and security features such as Row-Level Security across Power BI Service environments.
Bachelor's degree in Computer Science, Information Technology, Computer Applications, Data Analytics, or related field preferably from a Tier 1 institution.
4-6 years of experience as a Business Intelligence professional with expertise in Power BI within Banking & Financial Services / Risk domain.
Mandatory skills include semantic data modeling (star schema, tabular models), advanced DAX, Power BI Report Builder, and GitHub version control.
Experience with Power BI development covering UX/UI best practices, dynamic KPI design, SVG/custom visuals, and enterprise reporting practices.
Experienced in enterprise risk data analytics and reporting in a banking or financial services environment.
Strong technical operator with deep Power BI expertise, capable of translating complex business requirements into scalable reporting solutions.
Familiar with emerging BI capabilities, Power Platform automation, and managing BI lifecycle including security, performance, and governance at scale.