{"id":4035664,"url":"https://alion.io/job/arista-networks-data-analytics-intern","title":"Data Analytics Intern","company":{"id":2790,"name":"Arista Networks","domain":"arista.com","url":"https://alion.io/company/arista-networks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":91,"ghost_share":0,"stale_share":0.989,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Analytics","role_family":"Analytics","seniority":"intern","employment_type":"internship","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Matplotlib","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Stata","optional":false}],"status":"live","first_seen_at":"2026-11-10T20:06:09Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T20:09:13Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nAt 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.\nOur 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.\n Who You’ll Work With\nBusiness owners, helping them create effective processes for gathering, mapping, analyzing, and presenting data extracted from a complex variety of information systems.\nThe Internal Audit team, sharing technical knowledge and expertise with other members.\nA variety of business functions across the global enterprise, gaining exposure to how data, statistical analysis, and other technologies are used in different processes.\nWhat You’ll Do\nProvide data analytics and statistics support on Internal Audit and process improvement projects.\nUse data or statistical analysis tools for anomaly detection, process analysis, and policy decision-making.\nDesign, 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.\nHelp develop and implement continuous monitoring / auditing software solutions to manage high-risk areas.\nTake part in investigative activities and translate them into actionable business intelligence.\nLearn 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.\nLearn the impact of data analysis on policy changes and operations.\nGain experience with business management and governance software, such as NetSuite, Salesforce, LogicGate, etc.\nImprove your skills and experience with data and statistical analysis tools.\n MA/MS in a quantitative (Mathematics, Statistics, Economics) or technical (e.g. Computer Science) field.\nEnrolled in a graduate degree program with exposure to data analytics and statistics coursework (e.g. Computer Science, Mathematics, Statistics, or Data Science).\nExperience working with statistical packages such as R, Pandas, NumPy, SciPy, Matplotlib, Stata, Matlab (or other similar tools).\nExperience working with SQL, Python, Power BI, Excel (or other similar tools).\nHands-on experience using Microsoft Fabric for enterprise analytics, including data ingestion, storage design, transformation, and semantic modeling to support scalable reporting and monitoring solutions.\nExperience with tools and methods for Machine Learning (e.g. Regression, Predictive Modeling).\nProficiency in working with AI tools to improve reasoning and problem solving, accelerate learning, and enhance audit processes.\nExperience communicating data-driven insights.\nDemonstrated ability to work independently and with a team to achieve project goals.\nAbility to work successfully with a cross-section of teams in the organization.\nAbility to research and learn new technologies, tools, and platforms.\nGood to have\n1 year of quantitative industry experience.\nExperience working with Business Intelligence tools.\n Internship dates are flexible, with an opportunity for PT during the school year and FT during the summer.\nArista 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. 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