Leader, Business Intelligence

The application window is expected to close on: 10/15/2026 This is a hybrid role with two days per week at Cisco’s Atlanta, Toronto or RTP offices. Alternate locations will be considered on an exception basis. Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.

The Market Insights team delivers the market intelligence behind executive decision-making  size markets, track the competitive landscape, and analyze customer behavior to inform where Cisco invests, builds, and competes. We’re a team of analysts, data scientists, engineers, and market intelligence leaders focused on the practical application of data to hard business problems. Using proprietary data and machine learning, we surface new market opportunities and flag risks early.

Every insight we produce is built to be acted on, so that resource allocation and product roadmaps rest on objective evidence rather than assumption.

As a Business Intelligence Analyst, you’ll sit between our data architecture and the strategic decisions it informs. Working with experts from the team, you’ll build the analytical solutions and dashboards that support the market insight analysis in the team and help visualize to give executives clear understanding into market performance — sizing opportunities, measuring how we’re performing against them, and translating what the data says into recommendations leaders can act on.

• Market Analysis:
  Run deep-dive analyses across large, disparate datasets — internal telemetry, third-party analyst data, public financial disclosures — to identify trends, anomalies, and growth opportunities in the global technology market.
• Market Sizing & Forecasting:
  Build and maintain TAM models and forecasts for priority segments, tracking forecast accuracy and refining methodology over time.
• Visualization:
  Develop and maintain interactive dashboards that turn complex datasets into insight an executive can absorb in two minutes.
• Gen AI Integration:
  Apply LLMs and agentic workflows to synthesize unstructured sources — analyst reports, earnings calls, customer feedback — and to accelerate recurring reporting and narrative development.
• Data Modeling:
  Architect and optimize the data models behind our analytical platforms for accuracy, scalability, and performance, and continuously improve the collection and reporting workflows that feed them.
• Stakeholder Partnership:
  Work with Sales, Product Management, and Strategy to turn open business questions into analytical work, and own the reporting cadence that supports their planning.

• Bachelor's degree in a quantitative field — Business Analytics, Data Science, Economics, Computer Science — or equivalent practical experience.
• 5+ years in business intelligence, data analysis, or a similar analytical role.
• Advanced SQL for data extraction and manipulation.
• Hands‑on experience with Tableau, Power BI, or a comparable visualization platform.
• Strong grounding in data modeling, relational databases, and data warehousing.
• Demonstrated experience applying LLMs to business problems — automating analysis, synthesizing unstructured data, or building agentic workflows.

• Experience with cloud data platforms such as Snowflake, AWS Redshift, or Google Big Query.
• Python or R for statistical analysis and automation.

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