AI Business Analyst Internship Program

• Analyzing business processes and identifying areas where AI can create real value. 
• Collaborating with developers, architects, and other stakeholders to capture needs and translate them into clear requirements. 
• Creating user stories, backlogs, and documentation to support the development of AI-driven solutions. 
• Researching market trends, tools, and technologies in the AI space and assessing their business potential. 
• Preparing presentations, reports, and one-pagers to support decision-making processes. 
• Designing and optimizing workflows using low-code/no-code platforms. Supporting the project team in delivering end-to-end AI solutions — from analysis to implementation. 
• Acting as a bridge between business and technology to ensure solutions are both feasible and impactful.  

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances.

• Paid, several-month internship program - min. 3 months, 4-5 days a week, with flexible working hours and possibility to work remotely.
• A chance for long-term cooperation - there is a high probability that at the end of the internship, we will offer you a full-time job.
• Ambitious projects for the most prestigious clients in the world.
• The opportunity to gain skills, knowledge and experience while working in international teams and with experts from the dynamically developing digital sector.
• Career development - based on a culture of feedback and constant support from a mentor, a clear path of development from the first day of work and Buddy's help in a new workplace.

• Availability to work from the office in Warsaw, hybrid mode (2-3 days in the office)
• Active student status
• Experience in business analysis, including techniques such as BPMN for process modeling.  
• Storytelling and visualization skills — making findings understandable and compelling through clear narratives and visuals. 
• Strong analytical and critical thinking skills — ability to break down complex problems into actionable insights. 
• Documentation excellence — ability to produce high-quality specifications, user manuals, and process maps. 
• Command of Microsoft Office Suite, especially Excel and PowerPoint for analysis and presentations.  
• Practical knowledge of AI/LLM/GenAI models, their limitations, strengths, and appropriate use cases. 
• Familiarity with Agentive AI concepts. 
• Ability to clearly communicate with technical and business stakeholders. 
• Experience working in Agile/Scrum environments and contributing to product planning and estimation. 
• Excel: Good
• Power BI: Beginner

BONUS POINTS IF YOU HAVE:

• Documentation excellence — ability to produce high-quality Hands-on experience with data analysis using SQL, Python, or BI tools (Power BI, Tableau). 
• A Python background that allows you to prototype or validate AI-driven solutions. 
• Design or graphic skills — the ability to create engaging visuals, mockups, or user-friendly documentation. 
• Familiarity with low-code/no-code platforms (e.g., Power Automate, Power Apps, Zapier) for process automation. 
• Contributions to internal knowledge bases, open-source projects, or tech/AI communities. 
• Understanding of business dynamics in Financial Services and ability to connect AI capabilities with industry needs. 
• Experience with process mining or advanced process optimization tools.pecifications, user manuals, and process maps.