Senior Data Analyst, Business Analytics (AI)

Cisco Systems, Inc.•San Francisco, CA

37d•$165,000 - $241,400

About The Position

Sr Data Analyst, Business Analytics We believe that when passionate people can spend less time struggling with technology, they can spend more time on what matters - like teaching children, running businesses, keeping airports safe, and connecting disaster victims with relief. That's the real power of simplicity. Cisco Meraki is the leader in cloud-managed IT, thanks to our creative, inclusive, fearless team that is driven to simplify technology so the world can simply work! Cisco Meraki is revolutionizing how IT administrators manage their infrastructure by providing simple and secure cloud-managed solutions! With a large install base of customers and rich, multi-dimensional data sets, the potential for data analytics to improve business performance for our customers and our own business is enormous. The Data Science team is a growing group that works closely with executives and leaders across the company to support the development and alignment of our business strategy. As a Senior Data Analyst in this group, you will develop cross-functional relationships and bring rigorous quantitative methods to bear on product data to drive near- and longer-term impact. This role requires a blend of strategic thinking and hands-on technical skills to ensure that projects are not only conceptualized effectively but also executed to completion with high quality. We are expanding our capabilities to leverage artificial intelligence (AI) to solve complex data challenges, uncover hidden insights, and accelerate dataâdriven decisionâmaking. As part of this evolution, you will play a key role in identifying opportunities where AI can enhance analytics, automate processes, and improve organizational efficiency, effectively doubling down on efforts to embed AI into our workflows and optimize business outcomes.

Requirements

5+ years of proven ability in an analytical role or equivalent combination of graduate degree and work experience.
Demonstrated experience with AI-powered analytics and automation tools (experience with Snowflake Cortex, AWS AI/ML services, or similar platforms is highly desirable).
Proven ability to work with dashboarding and visualization platforms, with handsâon use of AIâpowered analytics features to enhance visualizations, automate routine insights.
Hands-on proficiency with SQL and Python; experience with cloud data platforms (Snowflake, AWS, GCP) is a plus.
Practical experience applying AI techniques (e.g., trend detection, anomaly detection, forecasting, natural language processing/summarization) to support business analysis and decision-making.
Outstanding critical thinking and problem-solving ability with superb attention to detail and accuracy
Bachelor's degree in a quantitative major, such as Computer Science, Mathematics, Statistics, Physics, Engineering, etc
You have a real passion for analytics and desire for continuous learning
You have strong organizational skills; able to keep track of multiple complicated priorities without losing details
You are eager to take ownership of projects
You remain curious and with an appetite to understand all the components of your work

Responsibilities

Collaborate Across Teams: Partner with PM and Engineering leaders to define key metrics for monitoring and understanding product performance and the customer experience
Drive AI-Enhanced Analytics: Leverage AI-powered analytics tools (such as Snowflake Cortex and similar platforms) to build intelligent reports, surface hidden patterns, generate automated insights, and proactively recommend actions for product and operational improvements.
Champion AI Adoption: Maintain a growth mindset around AI, constantly learn and experiment with new AI technologies, frameworks, and methodologies. Lead initiatives to adopt and scale AI tools within the analytics function.
Develop Next-Generation Dashboards: Create compelling, intuitive, and automated dashboards for PM, Engineering, and Executives, utilizing AI to enhance visualization, automate discovery, and deliver actionable intelligence
Identify High-Value AI Use Cases: Independently uncover opportunities to apply AI, such as trend detection, anomaly detection, forecasting, and natural language summarization-to improve operational processes and inform business strategy.
Partner on Data Integration: Work with data infrastructure teams to support Cisco data integration into the Meraki ecosystem, ensuring AI and analytics tools are optimized for evolving business needs.

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