Джерело: CrawlJobs
Ця вакансія не має повного перекладу вибраною мовою. Нижче показано оригінальний зміст.

Data Analytics Intern

Remote work

Publication date: 11/11/2026

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.

Responsibilities

Business owners, helping them create effective processes for gathering, mapping, analyzing, and presenting data extracted from a complex variety of information systems.; The Internal Audit team, sharing technical knowledge and expertise with other members.; A variety of business functions across the global enterprise, gaining exposure to how data, statistical analysis, and other technologies are used in different processes.; Provide data analytics and statistics support on Internal Audit and process improvement projects.; Use data or statistical analysis tools for anomaly detection, process analysis, and policy decision-making.; Design, develop, and maintain end-to-end analytics workflows in Microsoft Fabric, including data ingestion, transformation, modeling, and consumption, to support continuous monitoring and audit analytics.; Help develop and implement continuous monitoring / auditing software solutions to manage high-risk areas.; Take part in investigative activities and translate them into actionable business intelligence.; Learn how real-world business data is sourced, stored, cleaned, and integrated across multiple systems, and how these datasets come together in Microsoft Fabric to support enterprise analytics.; Learn the impact of data analysis on policy changes and operations.; Gain experience with business management and governance software, such as NetSuite, Salesforce, LogicGate, etc.; Improve your skills and experience with data and statistical analysis tools.

Requirements

MA/MS in a quantitative (Mathematics, Statistics, Economics) or technical (e.g. Computer Science) field.; Enrolled in a graduate degree program with exposure to data analytics and statistics coursework (e.g. Computer Science, Mathematics, Statistics, or Data Science).; Experience working with statistical packages such as R, Pandas, NumPy, SciPy, Matplotlib, Stata, Matlab (or other similar tools).; Experience working with SQL, Python, Power BI, Excel (or other similar tools).; Hands-on experience using Microsoft Fabric for enterprise analytics, including data ingestion, storage design, transformation, and semantic modeling to support scalable reporting and monitoring solutions.; Experience with tools and methods for Machine Learning (e.g. Regression, Predictive Modeling).; Proficiency in working with AI tools to improve reasoning and problem solving, accelerate learning, and enhance audit processes.; Experience communicating data-driven insights.; Demonstrated ability to work independently and with a team to achieve project goals.; Ability to work successfully with a cross-section of teams in the organization.; Ability to research and learn new technologies, tools, and platforms.

Nice to have

1 year of quantitative industry experience.; Experience working with Business Intelligence tools.
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