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# Leader, Business Intelligence

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $117,400.0 - $172,500.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Application Integration Architecture, Data Mining, Data Warehousing, Relational Databases, Python (Programming Language), Power BI, Cloud Services, Tableau (Software), Unstructured Data, Virtualization Technology, Sql Optimization, Large Language Models, Snowflake, Information Technology, Google Bigquery, Amazon Redshift
- **Published:** September 17, 2026
- **Apply:** https://dejobs.org/x/x/141C3C7A8E374AA88407B6D84D1C296D/job/

## About the Role

* 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.

Preferred Qualifications:

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

## Description

* 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.


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