Data Analytics Intern
Austin, TXInternshipPosted todayStill listed today
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At a glance
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Job overview
The Data Analytics Intern will support Internal Audit and process-improvement projects through data and statistical analysis. The role includes developing analytics workflows in Microsoft Fabric, helping implement continuous monitoring solutions, and translating investigative work into business intelligence. The intern will work with business owners, the Internal Audit team, and functions across the enterprise, while gaining exposure to how data supports policy and operational decisions.
Skills & qualifications
Skills
Qualifications
Full job description
Company 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. 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.
Job Description
Who You’ll Work With
- 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.
What You’ll Do
- 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.
Qualifications
- 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.
Good to have
- 1 year of quantitative industry experience.
- Experience working with Business Intelligence tools.
Additional Information
Internship dates are flexible, with an opportunity for PT during the school year and FT during the summer.
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.
How this job compares
Set against the 2,585 open Data Analytics jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This postingNot listed
- Texas median$116–195K/yr100 salary ranges
- US median$21–31/hr202 hourly ranges
- Openings
- Olive Jobs lists 147 open Data Analytics jobs in Texas and 2,585 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- Deloitte25 open
- PwC13 open
- JPMorgan Chase11 open
- Experience
- Data Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,089 postings).
- Education
- 1,221 of the 2,585 open Data Analytics jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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