Description
At **Ironhack**, in collaboration with companies and corporate training programs, we are seeking a **Specialist Instructor in Business Intelligence and Data Analytics** to lead training initiatives targeting young professionals who need to develop analytical competencies applied to business decision-making.
The goal is to equip participants with business-oriented data analysis skills, proficiency in Business Intelligence tools, and the ability to communicate executive insights—replicating the working methodology of a consulting firm and preparing students to solve real-world business cases using data.
We seek an expert profile on a **freelance basis** for a training project that includes both delivering training sessions and adapting, reviewing, and enhancing academic content developed by our team, contributing practical insights grounded in professional consulting experience.
### **Responsibilities**
* **Delivery and guidance:** Deliver in-person training sessions related to Business Intelligence and Data Analytics, guiding participants through solving real business cases using Excel, SQL, and Power BI.
* **Content management:** Adapt training content to the specific needs of each cohort, and review and update didactic materials developed by Ironhack.
* **Practical design:** Design hands-on activities based on real consulting projects.
* **Mentoring:** Support students in developing individual and collaborative projects, providing academic follow-up.
* **Administration:** Manage required academic documentation for the program (attendance records, assessments, academic tracking, and evidence of learning).
* **Coordination:** Collaborate with the academic and operations teams to ensure the smooth execution of training activities.
### **Suggested Program Content**
* Business Intelligence applied to business decision-making.
* Analytical methodologies used in consulting projects.
* Data cleaning, transformation, and exploratory data analysis.
* Advanced Microsoft Excel for analysis and reporting.
* SQL applied to business analysis and data integration across SQL, Excel, and Power BI.
* Data modeling and creation of executive dashboards in Power BI.
* Definition and monitoring of business KPIs.
* Data storytelling and executive communication using PowerPoint.
* Use of Artificial Intelligence to accelerate data analysis, generate SQL queries, automate tasks, and improve productivity.
* Development of *end\-to\-end* projects simulating a real consulting engagement.
### **Requirements**
* **Education:** University degree or Higher Vocational Training qualification in Engineering, Mathematics, Statistics, Economics, Business Administration, Computer Science, Data Science, or related disciplines.
* **Teaching:** Accredited pedagogical or teaching training, with demonstrable experience delivering training in Data Analytics, Business Intelligence, or data analysis tools.
* **Technical experience:** Minimum **2 years of professional experience in consulting**, participating in BI, Data Analytics, Data Strategy, Reporting, or Digital Transformation projects.
* **Tools:** Advanced proficiency in **Microsoft Excel, SQL, and Power BI**.
* **Key skills:** Experience designing executive dashboards, defining business metrics, and presenting analytical results to clients or executive committees.
* **Soft skills:** Ability to adapt technical content to varying levels of knowledge, and excellent communication and group facilitation skills.
### **Desirable Values (To be assessed)**
* Experience delivering training programs targeted at young people.
* Experience at consulting firms such as *EY, Deloitte, PwC, KPMG, Accenture, Capgemini, NTT DATA, Minsait, Sopra Steria*, or similar.
* Prior experience collaborating with bootcamps, universities, or technology training centers.
* Experience delivering corporate training or *upskilling* programs for professionals.
### **Offer Conditions**
* **Engagement model:** Freelance collaboration.
* **Location:** In-person training in Barcelona at the client’s offices.
* **Duration:** Intensive 3-week program (from September 14 to October 6).
* **Schedule:** Monday to Thursday, 09:00–18:00, and Friday, 09:00–15:00.