Cisco
Bengaluru, Karnataka, India Posted 2d ago
As a Data Analysis Manager at Cisco, you will build trusted data products, BI solutions, and intelligent workflows that help BU and Product Operations leaders make faster, better decisions across the product lifecycle.
Key Responsibilities
Define and enforce data quality standards, including accuracy, completeness, timeliness, and consistency, for product lifecycle, NPI, sustaining, and supply chain data.
Design and deliver dashboards, data products, and AI-enabled solutions that give BU and Product Operations leaders a clear view of product lifecycle health.
Analyze large-scale product, engineering, operations, and supply chain datasets to find risks, bottlenecks, and opportunities to improve operational efficiency.
Build scalable data pipelines, API integrations, AI agents, and intelligent workflows that replace manual reporting with trusted, reusable, self-service insights.
Use modern software engineering practices and AI-assisted development tools to rapidly prototype, build, and improve analytical solutions.
Partner with BU leaders, Product Operations, engineering, program management, and supply chain teams to translate decisions into data-driven solutions.
Standardize global processes, metric definitions, and reporting across BUs so leaders work from one consistent version of the truth.
Lead technical solution design, perform code reviews, mentor team members, and champion best practices across analytics and BI.
Requirements
Bachelor's degree in engineering, Computer Science, Data Science, Mathematics, Statistics, Supply Chain, or a related technical discipline.
7+ years of experience in data analytics, business intelligence, operations analytics, supply chain analytics, or related technical disciplines.
5+ years of hands-on Python development for data engineering, analytics, automation, and software solution development.
Experience with data visualization and business intelligence platforms such as Tableau, Power BI, or Looker.
Experience defining and implementing data quality rules, validation, and monitoring for enterprise datasets.
Experience developing and integrating REST APIs, event-driven services, and enterprise data solutions.
Strong understanding of data modeling, business logic, and analytical techniques for structured and unstructured data.
Experience building scalable cloud-native solutions using containerization technologies such as Docker and Kubernetes.
Preferred Qualifications
Experience with AI/LLMs, agentic AI, RAG, or AI-enabled enterprise applications.
Strong understanding of end-to-end data architecture.
Experience with modern cloud data platforms and data engineering ecosystems such as Snowflake, Databricks, Azure, AWS, or GCP.
Experience supporting product lifecycle management (PLM), NPI, or supply chain initiatives.
