SAP:AI Business Analyst Intern

As an AI Business Analyst Intern at SAP, you're not just a cog in the machine - you're a catalyst for change, a spark of creativity, and a driving force behind our mission to make the world run better and improve people's lives. Here, you'll have the chance to roll up your sleeves and dive headfirst into the exciting world of artificial intelligence, working alongside some of the brightest minds in the industry to tackle real-world challenges and create tangible impact.Data Analysis & Business Intelligence leveraging AI and ML technologiesCollect, clean, and analyze data from various sources to derive meaningful insights. This involves using statistical methods, data mining, and data visualization techniques.Use statistical and machine learning techniques to develop predictive models and insights.Work closely with AI engineers and developers to integrate analytical solutions into business processes.Support in developing and maintain business intelligence dashboards and reports to track key performance indicators (KPIs) and provide regular updates to stakeholders.Data Modeling & Trend IdentificationSupport the creation and maintenance of data models that enable deeper analysis and predictive capabilities.Identify and interpret trends and patterns within the data and present these findings to relevant teams or management to support decision-making.Forecasting & Predictive AnalyticsUtilize statistical modeling and predictive analytics to forecast future trends and outcomes.Business Strategy Support & Competitive AnalysisCollaborate with business leaders and teams to provide data-driven insights that support strategic planning and decision-making processes.Conduct competitive analysis and benchmarking to assess the organization's performance relative to industry peers.Data Governance & Business InsightsEnsure data accuracy, integrity, and compliance with data governance policies and regulations.Provide actionable recommendations based on data analysis to improve business processes, enhance efficiency, and drive revenue growth.Work closely with various departments, including marketing, finance, operations, and product development, to understand their data needs and deliver relevant insights.

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