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Tier-1 brand, mid-level data role, and common Power BI skillset increase applicant competition.
Core BI and data engineering skills transfer across industries, though Power BI/Snowflake specificity adds moderate bias.
Explicit 4+ years plus mandatory Power BI, DAX, Snowflake, dbt, and Power Automate requirements create strict filters.
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Own end-to-end design, development, and delivery of Power BI business intelligence solutions supporting global customer experience programs including executive-level reporting.
Build and maintain Power BI semantic models, reports, and Power Automate workflows integrating AI-driven insight pipelines over Snowflake/dbt data architecture.
Lead Microsoft Fabric BI architecture transition and AI-augmented analytics initiatives aligned with executive directives on future-readiness.
Minimum 4 years experience in Power BI development with advanced DAX, RLS, incremental refresh, and deployment pipelines.
Demonstrated experience building Power Automate workflows integrating with external APIs or cloud services.
Proficient in SQL querying, preferably with Snowflake cloud data warehouse experience.
Experience with semantic data models for multi-dimensional enterprise-scale analytics; foundational Python skills for data wrangling or scripting.
Experienced in integrating BI solutions within modern cloud data stacks (Snowflake, dbt) and evolving BI platforms like Microsoft Fabric.
Skilled at translating complex CX metrics (NPS, TAC analytics, customer health) into executive-ready, dynamic visualizations with minimal direction.
Comfortable driving adoption of AI features in BI deliverables (Power BI Copilot, AI visuals, LLM-generated insights) and collaborating cross-functionally on technical and strategic BI initiatives.