AI/ML Data Analyst with Networking experience

Job Role : AI Data Analyst with Networking experience

Location : Remote

Mode of interview : Video Interview

Years of experience: 3+ years

Job Roles/Responsibilities:We are seeking skilled Data Analysts to join our innovative Cisco AI Software and Platform team. As part of this cutting-edge organization, you will play a pivotal role in shaping the future of AI-driven solutions by analyzing complex datasets, extracting actionable insights, and driving data-informed decision-making. Successful candidates will collaborate with cross-functional teams, such as product managers, engineers, and researchers, to support the development and optimization of AI software and platforms that empower businesses worldwide.

You are an experienced professional who leverages industry best practices, specialized expertise, and a deep understanding of business and technical challenges to solve complex problems and deliver impactful solutions. You thrive in a fast-paced environment, work independently with limited guidance, and demonstrate a proactive, innovative approach to delivering value. As a resourceful team member, you will mentor colleagues, foster collaboration, and bring a broad perspective to identify and implement data-driven strategies that align with Cisco s AI vision.

What The Team Will Do:

• Collaborate with Product Managers, Engineers, and Researchers to define key performance metrics for monitoring and understanding the performance of AI-driven software and platform solutions.
• Collect, clean, and organize data from multiple sources, including large-scale AI and machine learning datasets, to ensure accuracy, consistency, and reliability for analysis.
• Build and optimize SQL queries and leverage advanced data analysis tools to meet the needs of AI product development and business decision-making.
• Analyze data using statistical and machine learning methods to uncover insights, identify trends, and generate predictive models that drive AI innovation.
• Develop compelling, intuitive, and automated dashboards, reports, and visualizations that empower cross-functional teams and executives to understand critical metrics and make data-driven decisions.
• Design and analyze experiments (e.g., A/B tests) to assess the impact of new AI platform features, product enhancements, and deployment changes.
• Stay up to date with the latest advancements in data science, AI, and big data analytics to ensure Cisco s AI Software and Platform solutions remain at the forefront of innovation.
• Partner with data infrastructure teams to support the integration of diverse data sources into scalable pipelines, enabling seamless access to high-quality data for AI systems.
• Identify opportunities to improve processes, enhance efficiency, and apply automation to workflows within the AI development lifecycle.
• Communicate complex data findings and actionable insights to both technical and non-technical stakeholders, bridging the gap between data and decision-making.

Key Skills and Qualifications:

Education and Experience:

• Bachelor s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. A graduate degree is a plus.
• 3+ years of experience in a Data Analyst, or similar role, with a focus on AI, machine learning, or large-scale data analysis.
• Experience in networking (CCNA, CCNP) or security domains

Technical Expertise:

• Proficiency in SQL for querying large datasets and experience with programming languages such as Python (preferred) or R for data analysis.
• Hands-on experience with data visualization tools like Tableau, Power BI, or equivalent, to create intuitive dashboards and reports.
• Familiarity with data modeling, data warehousing, and building ETL pipelines. Experience with cloud platforms like AWS, Google Cloud Platform, or Snowflake is a plus.
• Experience with machine learning frameworks or AI tools is highly desirable.

Analytical Skills:

• Strong foundation in statistical methods, experimental design (e.g., A/B testing), and predictive modeling.
• Ability to analyze and interpret complex datasets, identify trends, and provide actionable insights.
• Outstanding critical thinking and problem-solving ability with excellent attention to detail and accuracy.

Collaboration and Communication:

• Excellent verbal and written communication skills, with the ability to translate complex data findings into clear, actionable recommendations for technical and non-technical audiences.
• Proven ability to work independently and collaboratively in a fast-paced, cross-functional environment.

Mindset and Personal Attributes:

• A self-starter who takes ownership of projects and delivers results with minimal supervision.
• Eager to learn and stay updated on the latest trends in data analytics, AI, and machine learning.
• Curious, adaptable, and excited to work on innovative solutions that push the boundaries of AI technology.