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Tech Stack
Tools & technologiesCloudGoogle Cloud PlatformPythonSQLSwitching
About the role
Key responsibilities & impact- Own the design, development, and delivery of business intelligence solutions that span Cisco’s global customer experience programs.
- Build and maintain Power BI semantic models and dashboards that feed directly into executive reporting and operational decision-making—working across a Snowflake/dbt data architecture and integrating with AI-driven insight delivery pipelines.
- Design, build, and maintain Power BI reports, datasets, and semantic models supporting NPS, TAC case analytics, EBV/EDW reconciliation, and customer health measurement.
- Develop and manage Power Automate workflows for automated insight delivery, including integration with AI-generated summary pipelines (GCP ESPv2 / API Gateway).
- Author and maintain DAX measures, calculation groups, and field parameters for complex, hierarchy-driven reporting across SAV, CAV, and UNIFIED_PARTY_ID structures.
- Collaborate with data engineering team members on Snowflake query optimization and dbt layer consumption, identifying and resolving model-layer issues that surface in report outputs.
- Partner with the broader analytics team to instrument parametric, configurable dashboard layers that support plug-and-play organizational hierarchy switching without requiring report rebuilds.
- Contribute to the team’s Microsoft Fabric readiness strategy, evaluating Direct Lake mode and OneLake integration patterns as the organization transitions its BI architecture.
- Provide thought leadership on AI-augmented analytics—including Copilot in Power BI, AI visuals, and LLM-integrated insight surfaces—aligned to the VP directive on AI future-readiness.
Requirements
What you’ll need- 4+ years of hands-on Power BI development experience, including advanced DAX authoring, RLS implementation, incremental refresh configuration, and deployment pipeline management.
- Demonstrated experience designing and building Power Automate workflows that integrate with external APIs or cloud services for automated data delivery or alert distribution.
- Working proficiency in SQL with demonstrated ability to query and consume data from cloud data warehouses (Snowflake strongly preferred), including multi-level hierarchical aggregation patterns.
- Experience building and maintaining semantic data models (star or snowflake schema) that support multi-dimensional analytical reporting at enterprise scale.
- Foundational Python skills sufficient for data wrangling, parameterization scripting, or preprocessing tasks within an analytics pipeline context.
Benefits
Comp & perks- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
Power BIDAXPower AutomateSQLPythondata modelingdata visualizationcloud data warehousesincremental refreshAPI integration
Soft Skills
collaborationthought leadershipproblem-solvingcommunicationorganizational skills