Data Analyst – Business Intelligence & AI – SQL | Power BI/Tableau | Python | Automation | 3.5–7.5 Years

Meet the Team

The Data & Analytics team helps leaders turn sophisticated information into clear, actionable insights. We partner across business, operations, finance, product, and go-to-market to build trusted data analysis, enable strategic decision-making and improve business performance. As a Data Analyst, you will bring strong analytical judgment, familiarity with AI-enabled tools, and a passion for crafting intuitive dashboards that help teams understand what is happening, why it matters, and what to do next.

Your Impact

As a Business & Data Analyst, you will partner with business team members to develop and deliver end-to-end analytics and reporting solutions that enable data-driven decisions. You will transform sophisticated business requirements into meaningful insights, develop scalable dashboards, and see opportunities to improve operational efficiency through data and AI-enabled solutions. Specific responsibilities include:

• Capture business requirements and develop scalable analytics, reporting, and dashboard solutions that support strategic business objectives.
• Develop, maintain, and optimize executive dashboards, reporting tools, and data visualizations that deliver actionable insights to business leaders.
• Analyze large and sophisticated datasets to identify trends, measure business performance, and deliver quantitative and qualitative insights that influence strategic decisions.
• Evaluate key SaaS and other business metrics including ARR, NRR, GRR, renewal rate, churn risk, and product adoption to support business planning and decision-making.
• Use approved AI-enabled tools and automation techniques to improve insight generation, forecasting, reporting, operational efficiency and how partners work well with our analytics and insights.
• Provide ad-hoc reporting, data extracts, and analytical support while finding opportunities to automate recurring processes and scale data-driven solutions.
• Establish data-quality checks, KPI definitions, documentation, and governance practices that improve trust and consistency in reporting.

Qualifications and Requirements

Minimum Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business, or a related technical or quantitative field; equivalent practical experience may be considered.
• 6+ years of experience in data analytics, business intelligence, strategic analytics, commercial analysis, business operations, or a similar analytical role, preferably in enterprise technology or SaaS.
• 5+ years of experience developing dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
• 5+ years of experience querying and analyzing large datasets using SQL and platforms such as Snowflake, SAP HANA, BigQuery, Databricks, or similar technologies.
• Experience using Python, R, or a comparable language for data analysis, automation, data transformation, sophisticated analytics, or API data develops.
• Experience applying AI-enabled tools and generative AI to business problems and reporting workflows with sound judgment and appropriate validation.
• Good communication, data storytelling, problem-solving, stakeholder-management, and attention-to-detail skills.

Preferred Qualifications

• Experience with data analysis, data exploration, data wrangling, data transformation, and data-validation techniques.
• Experience with enterprise reporting platforms such as Salesforce, SAP BI or Business Objects, Databricks, or similar tools.
• Familiarity with enterprise teamwork solutions, networking business models, or related technology portfolios.
• Solid understanding of recurring revenue models and commercial metrics such as ARR, ACV, NRR, customer churn, renewals, and Enterprise Agreements.
• Experience with forecasting, scenario analysis, predictive modeling, or other sophisticated analytical methods.
• Knowledge of data governance, privacy, security, and responsible AI principles.
• Experience mentoring analysts or influencing decisions across organizational boundaries.

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. 

Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

• be in direct response to an application you have submitted through the company career site
• begin with screening or an interview
• originate from a Cisco email address, and
• be conducted across email, phone, or WebEx

 

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.

If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.