Data & AI

AI Business Intelligence Analyst

by Agile Heroes GmbH

Provider
Agile Heroes GmbH
Category
Data & AI
Duration
2 months – 8 months
Schedule
Vollzeit, Teilzeit
Locations
Frankfurt am Main, Herzogenrath, Leinfelden-Echterdingen
Next start
21 Oct 2026

Course overview

An AI Business Intelligence Analyst makes company data usable for decision-making: They build reports and dashboards, analyze key figures with AI support, and translate numbers into actionable recommendations. This training provides the craft of business intelligence and the productive use of generative AI in data analysis. Creating a Data Foundation for Business Intelligence Reliable reports start with clean data. - Identify and evaluate relevant data sources within the company - Clean, link, and structure data with AI support - Check, document, and permanently secure data quality - Organize master data and transactional data meaningfully Building Key Figures and Reporting Systems A good reporting system answers the questions that are actually asked in the company. - Develop key figure systems for sales, marketing, finance, and operations - Design dashboards and recurring reports - Automate report creation with AI tools - Standardize and maintain key figure definitions Evaluating Key Figures in Dialogue with AI Generative AI makes reporting queryable: Follow-up questions about numbers arise in conversation rather than in formula language. - Recognize deviations from the plan and trace causes in detail - Drill down from summary key figures to individual items - Prepare forecasts and scenarios for planning and budgeting processes - Store recurring reporting questions as fixed queries Designing Dashboards that Reach Decision-Makers A dashboard is only good if the right person can find the right number in seconds. - Structure and information hierarchy of effective dashboards - Separate management reporting from operational views - Use thresholds, traffic light logic, and alerts meaningfully - Take report recipients and their decision-making questions as a starting point Quality and Control Responsibility - Interpret key figures in the business context and prevent mismanagement - Systematically verify AI-generated evaluations - Protect data privacy and confidential key figures in reporting Establishing a Reporting Culture in the Company - Support departments in independently handling reports - Collect requirements for new evaluations in a structured manner - Shape key figure governance and responsibilities - Regularly check reports for relevance and usage This training teaches how to create a reliable, AI-supported reporting system from scattered company data that measurably improves decision-making.

Upcoming dates

  • 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Frankfurt am Main · Hybrid Learning
  • 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Virtuelles Klassenzimmer
  • 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Herzogenrath · Hybrid Learning
  • 2026-10-20T22:00:00.000Z · 2026-12-22T23:00:00.000Z · Leinfelden-Echterdingen · Hybrid Learning
  • 2026-11-03T23:00:00.000Z · 2027-07-03T22:00:00.000Z · Frankfurt am Main · Hybrid Learning

Funding

Bildungsgutschein funding depends on the course details and the decision of the responsible authority.

Data last synced: 2026-09-20