Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time.

Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services.

Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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.

What You’ll Do

• 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.

You are a data-savvy analyst with a solid grasp of statistics and a talent for transforming complex data sets into clear visual narratives. You excel at meticulous data cleaning and analysis with an ability to communicate insights effectively to stakeholders. With an eye for detail and 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.

Minimum Qualifications

• Including but not limited to a graduate/upcoming graduate of a technical degree or certification program from a Technical Boot Camp, Apprenticeship, Community College or 4-year University.
• Open to 0-3 years of relevant experience or recent graduate or those in the final year of a Bachelor's in Engineering , Computer Science, Data Science, Statistics, a related program, or holders of equivalent academic certifications.
• 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)