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В Company hidden четко описана стажировка с практической работой над аналитикой и корпоративными данными, хотя требования для стажера довольно высокие и предполагают обучение в магистратуре.
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Текст:
Hirify AI/Оригинал
TL;DR
Data Analytics Intern (Microsoft Fabric/AI): Supporting internal audit and process improvement through statistical analysis, anomaly detection, and end-to-end analytics workflows with an accent on Microsoft Fabric, machine learning, and enterprise data integration. Focus on designing ingestion, transformation, modeling, and monitoring solutions, translating investigations into actionable business intelligence, and communicating data-driven insights.
Location: Remote, Austin, TX, United States
Company
hirify.global develops client-to-cloud networking solutions for data centers, campuses, and routing environments using cloud computing, artificial intelligence, and software-defined networking.
What you will do
Support Internal Audit and process improvement projects with data analytics and statistical analysis.
Use analytical tools for anomaly detection, process analysis, and policy decision-making.
Design, develop, and maintain end-to-end analytics workflows in Microsoft Fabric, covering data ingestion, transformation, modeling, and consumption.
Help implement continuous monitoring and auditing software for high-risk areas.
Participate in investigations and translate findings into actionable business intelligence.
Analyze how data is sourced, stored, cleaned, integrated, and used across enterprise systems and business functions.
Requirements
MA/MS in Mathematics, Statistics, Economics, Computer Science, or another quantitative or technical field, and enrollment in a graduate degree program with exposure to data analytics and statistics coursework.
Experience with statistical packages such as R, Pandas, NumPy, SciPy, Matplotlib, Stata, Matlab, or similar tools.
Experience with SQL, Python, Power BI, Excel, or similar tools.
Hands-on experience using Microsoft Fabric for enterprise analytics, including data ingestion, storage design, transformation, and semantic modeling for scalable reporting and monitoring.
Experience with machine learning tools and methods, including regression and predictive modeling.
Proficiency with AI tools to improve reasoning and problem solving, accelerate learning, and enhance audit processes.
Experience communicating data-driven insights and the ability to research and learn new technologies, tools, and platforms.
Ability to work independently, collaborate with teams, and work successfully across organizational functions.
Nice to have
1 year of quantitative industry experience.
Experience with business intelligence tools.
Culture & Benefits
Internship dates are flexible, with part-time work available during the school year and full-time work during the summer.
Opportunity to collaborate with business owners, Internal Audit, and business functions across the global enterprise.
Inclusive environment that values diverse perspectives and supports innovation.
Equal opportunity employment with confidential handling of applicant information under EEO guidelines.
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