Über das Unternehmen
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 738,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create long-lasting value for our clients, people and communities. In Vienna, we are a key partner for many leading Austrian businesses, helping them innovate and grow through data-driven insights and cutting-edge solutions.
Stellenbeschreibung
Join Accenture’s dynamic team in Vienna for an exciting Business Analytics Internship! This is a fantastic opportunity for aspiring data professionals to gain hands-on experience in a fast-paced consulting environment. You will work on real-world projects, supporting our clients in making data-driven decisions, optimizing business processes, and uncovering valuable insights. This role is ideal for individuals passionate about data, with a strong analytical mindset and a desire to learn from industry experts. You will contribute to various phases of the analytics lifecycle, from data collection and cleaning to analysis, visualization, and reporting.
Hauptverantwortlichkeiten
- Assist in collecting, cleaning, and preparing large datasets for analysis.
- Support the development and implementation of analytical models and tools.
- Conduct data analysis to identify trends, patterns, and insights relevant to client business objectives.
- Create compelling data visualizations and dashboards using tools like Power BI or Tableau.
- Prepare reports and presentations to communicate findings to project teams and clients.
- Collaborate with experienced business analysts and consultants on various client projects.
- Participate in client meetings and workshops to understand business requirements.
- Document analytical processes, methodologies, and results.
Erforderliche Fähigkeiten
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel (advanced functions, pivot tables).
- Basic knowledge of SQL for data extraction and manipulation.
- Excellent communication and presentation skills in English and German (B2+).
- Ability to work effectively in a team-oriented and fast-paced environment.
- Currently enrolled in a Bachelor’s or Master’s degree program in Business Administration, Economics, Computer Science, Statistics, or a related quantitative field.
Bevorzugte Qualifikationen
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
- Experience with programming languages such as Python or R for data analysis.
- Understanding of statistical concepts and methodologies.
- Prior internship or project experience in a data-related role.
- Knowledge of cloud platforms (AWS, Azure, GCP) or big data technologies.
Vorteile & Zusatzleistungen
- Mentorship from experienced professionals in the field of business analytics.
- Exposure to diverse industry projects and clients.
- Opportunity to develop practical skills in data analysis, visualization, and consulting.
- A vibrant and inclusive company culture.
- Networking opportunities within a global company.
- Potential for a full-time position upon successful completion of the internship.
- Modern office environment in the heart of Vienna.
- Access to Accenture's extensive learning and development resources.
So bewerben Sie sich
Wenn Sie an dieser Stelle interessiert sind, klicken Sie bitte auf den untenstehenden Button „Jetzt bewerben“. Um sicherzustellen, dass Ihre Bewerbung berücksichtigt wird, fügen Sie bitte Folgendes bei:
- Einen aktuellen Lebenslauf
- Ein kurzes Anschreiben, das Ihre Erfahrung und Motivation zusammenfasst
Bewerbungen werden laufend geprüft. Nur Kandidaten, die in die engere Wahl kommen, werden zu einem Vorstellungsgespräch eingeladen.
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