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

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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Develop scalable analytics, dashboards, reporting solutions, and data visualizations for business leaders. Analyze large datasets and SaaS metrics, provide strategic insights, automate recurring processes using Python and AI-enabled tools, and establish data-quality, KPI, documentation, and governance practices. Partner with stakeholders across business functions to support data-driven decisions, forecasting, operational efficiency, and business performance.
Summary Generated by Built In
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.


Skills Required

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business, or a related technical or quantitative field, or equivalent practical experience
  • 6+ years of experience in data analytics, business intelligence, strategic analytics, commercial analysis, business operations, or a similar analytical role
  • 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, or Databricks
  • Experience using Python, R, or a comparable language for data analysis, automation, data transformation, advanced analytics, or API development
  • Experience applying AI-enabled tools and generative AI to business problems and reporting workflows with appropriate validation
  • Communication, data storytelling, problem-solving, stakeholder-management, and attention-to-detail skills
  • Experience with data analysis, exploration, wrangling, transformation, and data-validation techniques
  • Experience with enterprise reporting platforms such as Salesforce, SAP BI, Business Objects, or Databricks
  • Familiarity with enterprise teamwork solutions, networking business models, or related technology portfolios
  • 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 advanced analytical methods
  • Knowledge of data governance, privacy, security, and responsible AI principles
  • Experience mentoring analysts or influencing decisions across organizational boundaries

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
  • Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
  • Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.

Cisco Insights

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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.

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