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# Data Science Analyst I (Full Time) - United States GSC/SCT ETR

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Experience:** Starter
- **Salary:** $107,800.0 - $136,800.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, C++ (Programming Language), Data Cleansing, Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Google Cloud, Cloud Platform System, Apache Spark, Information Technology, Data Analytics, Cisco, Programming Languages
- **Published:** October 29, 2026
- **Apply:** https://diversityjobs.com/career/18773260/Data-Science-Analyst-I-Full-Time-United-States-Gsc-Sct-Etr-California-San-Jose

## About the Role

You are a data-savvy analyst with a solid grasp of statistics and a talent for redefining complex data sets into clear visual narratives. You excel at meticulous data cleaning and analysis with an ability to communicate insights effectively to customers. With a solid understanding of business context, you are a problem-solver who thrives in collaborative environments. You collaborate effectively with cross-functional teams. You're committed to continuous learning, with insights of the latest trends and tools in data analytics to drive strategic decisions., * Meet one of the following (completed within the past 3 years or expected to be completed within the next 12 months):

-A Bachelor's degree with 0 years of work experience; or

-An educational or workforce development program (e.g., Associate's, Apprenticeship, Boot camp, or Certification) with 1 year of work experience; or

-High school diploma (or equivalent) with 2 years of work experience.

 * Qualifying education and work experience should be in Data analysis, Computer Science, Data Science, Statistics, or a related program
 * Python, Python libraries, and R with proficiency in statistical analysis and data visualization
 * Strong mathematical skills
 * Able to legally live and work in the country for which you are applying, without visa support or sponsorship

Preferred Qualifications

 * Experience with big-data platforms (Hadoop, Spark)
 * Familiarity with programming languages such as Java, Scala, or C++
 * Exposure to Machine Learning
 * Knowledge of Cloud Computing Platforms (AWS, Google Cloud, Microsoft Azure)

## Description

You will work across functions with the Customer Experience, Sales, Marketing, and IT organizations, playing a leadership role in transforming Cisco by developing and implementing analytic models and intelligent automation to drive us toward a data-driven digital organization.

Digital Lifecycle Journey's (DLJ) digital expertise makes us uniquely qualified to address the evolving expectations of today's connected customers and partners, along with Cisco sellers. Using real-time connected data, machine learning, and automation; the team enables Cisco sellers and partners to deliver a powerful, personalized experience-throughout the entire customer lifecycle. Digital Lifecycle Journey is focused on providing customers with an immersive digital experience with Cisco. This in turn drives improvements in recurring revenue, cost savings and sales effectiveness for Cisco and its partners.

Your Impact

 * Identify, analyze, and interpret trends or patterns in sophisticated data sets using statistical techniques and provide ongoing reports and dashboards.
 * Collaborate with business and IT teams to understand the different persona specific-use cases, the related business insight, consolidate use cases across persona and drive a common approach towards solving multiple use cases.
 * Partner and lead multi-functional teams to realize data relationships through proper threading.
 * Define data privacy and protection processes required and implement systems and workflows that enforce security.
 * Assess the efficiency and accuracy of new data sources and data gathering techniques.
 * Data Analysts are passionate about turning complex data into information, information into insight, and insight into business decisions. They connect with data scientists, engineers, product managers, and executives and deliver high quality analytics insights with the ability to derive actions that can be integrated into different workflows.