Advanced AI Analyst - Operations Systems at Arista Networks · Santa…

companyDescription Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges. At Arista we value the diversity of thought and perspectives that each employee brings to the table. We  believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do. jobDescription Who You’ll Work With Arista is looking for highly capable data analysts to transform our data strategy through data and AI-driven decision-making. You will work with a cross-disciplinary team of supply chain and operations experts, IT and NPI engineers to dismantle data silos. The goal is to move Arista from "descriptive" reporting on spreadsheets to models that can show metrics on dashboards, and determine actionable insights. What You’ll Do Architect the Analytics Strategy: Define and build the roadmap for manufacturing operations data models, transitioning legacy spreadsheets into scalable dashboards and introducing AI into many models. Transform Intelligence: Utilize AI to help Arista’s manufacturing organization to determine readiness, material lead times, capacity risks and manufacturing/supply chain resiliency risks. Develop analytics to suggest optimal mitigation strategies before they impact production. Tooling & Automation: Champion the adoption of leading-edge tools (e.g., Google Big Query, Python, and SQL) to build automated decision-support systems that reduce manual intervention. Executive Storytelling: Translate complex AI model outputs into actionable insights and "so-what" summaries, using principles to help executive stakeholders drive major decisions. qualifications Education: Bachelor’s degree in Engineering, Data Science, or Business Analytics. A Master’s degree in a quantitative field with a focus on machine learning is highly preferred. Data: Database query language experience (SQL) and experience with data visualization (PowerBI, Looker). Proficiency in Python (Pandas, NumPy, Scikit-learn) for statistical modeling and automated decision logic. Soft Skills: You should be comfortable explaining models and analytics to upper management. Experience: 3-5 years of relevant industry experience preferred. additionalInformation Compensation Information: The new hire base pay for this role has a salary range of $119,000 - $162,000. Arista offers different pay ranges based on work location, so that we can offer consistent and competitive pay appropriate to the market. The actual base pay offered will be based on a wide range of factors, including skills, qualifications, relevant experience, and work location. The pay range provided reflects base pay only and in addition certain roles may also be eligible for discretionary Arista bonuses and equity. Employees in Sales roles are eligible to participate in Arista’s Sales Incentive Plan, which pays commissions calculated as a percentage of eligible sales. US-based employees are also entitled to benefits including medical, dental, vision, wellbeing, tax savings and income protection. The recruiting team can share more details during the hiring process specific to the role and location. Arista Networks is an equal opportunity employer.  Arista makes all hiring and employment-related decisions in a non-discriminatory manner without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other factor determined to be unlawful under applicable federal, state, or law law.  All your information will be kept confidential according to EEO guidelines.