Data Engineer

Meet the Team The Customer Listening & Analytics team with Cisco’s Data and Analytics organization is responsible for translating the voice of the customer into measurable, actionable insight across Cisco’s global install base. We own the data architecture, reporting infrastructure, and analytical frameworks that drive CX strategy—including NPS programs, TAC performance analytics, and executive-level customer health dashboards.

Our work directly informs decisions made by VP and SVP leadership and is deeply integrated with Cisco’s AI transformation agenda. This is a high-visibility team operating at the intersection of data engineering, business intelligence, and AI-augmented analytics.

We move fast, we build things that matter, and we invest in the people who build them. Your Impact As the Power BI & Analytics Engineer on the Customer Listening team, you will own the design, development, and delivery of business intelligence solutions that span Cisco’s global customer experience programs.

You will 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. Minimum Qualifications 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.

Preferred Qualifications Familiarity with Microsoft Fabric—including Lakehouse, OneLake, and Direct Lake mode—and awareness of how Fabric unifies Power BI with the broader data engineering stack. Experience incorporating AI capabilities into BI deliverables, including Copilot in Power BI, AI visuals (Key Influencers, Smart Narrative), or LLM-generated summaries surfaced within report interfaces.

Exposure to GCP or Azure environments, including reading from BigQuery or consuming outputs from Cloud Run, API Gateway, or similar services. Experience with version control practices (Git) applied to analytics artifacts, including dbt model review, XMLA endpoint-based Power BI source control, or CI/CD pipeline awareness.

Strong data storytelling instincts—ability to translate complex CX metrics (NPS, case volume trends, customer health scores) into executive-ready visualizations without requiring prescriptive direction. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.

We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Simply put – we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless.

We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.

We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale.

Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.