Learning Analytics

hace 3 semanas

Barcelona, España IESE Business School A tiempo completo

**IESE’s Learning Innovation Unit (LIU)**
- LIU’s mission is to support IESE in providing innovative world-class business education globally. We work across contexts (online, blended, face-to-face, hybrid), modes(synchronous and asynchronous), and program types (degree and non-degree).
- Constantly watching new learning trends and technologies and guided by how the future of learning could look like, LIU offers advisory and development services based on its knowledge and expertise.
- LIU spearheads innovation efforts together with faculty members, staff, customers, and partners with the main ambition of having the maximum impact on participants and organizations.
- We aim to (co-)create a sophisticated and comprehensive portfolio of academically rigorous and impactful learning solutions (methods, tools, approaches, infrastructure, materials, etc.) that will benefit IESE’s global participants and stakeholders.

Drives the overall creation and evolution of analytical & measurement instrument concepts within the IESE Lifelong Learning Initiative. Builds the abilities to create deep insights about our learners' jobs to be done and relate to actions in design, learning community experience, ecosystem and lifetime value capture.

**Main responsibilities**:

- Builds ability to analyze learner needs, competencies, skills, interests, preferences, behaviors and jobs to be done to create deep insights into different personas, career transitions and further to-be-identified life and learner events relevant for the learning design, experience and learning community management.
- Identifies learner's needs (Jobs to be done) and all other above-mentioned elements through effective surveying and observation (through to-be determined measurement instruments) as well as by approximation with breadth of internal and external data sources.
- In an on-going fashion works with I3L team members regarding learning design, learning community experience, learning ecosystem and learner lifetime value to provide important and relevant insights for respective strategy, concepts, and operations.
- Continues to expand the set of skill models (target profiles) with a research basis and builds the foundation for scaling the effort.
- Builds and manages collaboration with external data sources providers (Labor market data providers, LinkedIn, Indeed, etc.) to stay up-to-date with evolution of roles, skills and competencies.
- Promotes and aligns a learner diagnostic and analysis-oriented learning design concept with a variety of stakeholders, including faculty, e.g. to design competency & skill models as well as target profiles (optimum skill set for a job role).
- Closely work with product owner to incorporate measurement instruments into the user experience and journey for on-going accompanionship as well as to continue to shape the requirements for and evolving set of measurement instruments.
- Closely works with learning designers to understand learning units, solutions and their respective desired outcomes and build short-, mid-, and long-term measurement strategies and how those are managed in a education technology context, e.g. Scorms in LXPs, etc.

**Requirements**:

- Minimum experience of 5-7 years
- Bachelor’s Degree, and Preferrable MBA
- Solid experience in designing and analyzing 360° (learner) profiles.
- Strong background in competency & skill management (ideally in a research setting) and designing of skill models and determining of target profiles (optimal job role skill sets).
- Experience in designing/determining skill measurement instruments.
- Understand the dynamics of instructional learning design and aspects of learning (and data collection) gamification without being a designer yourself. Effectively source, select and manage suitable external providers.
- Seasoned communicator at all levels of the organization (particularly faculty) to achieve results. General understanding of education technologies, e.g., LMS, LXPs, Scorms and other academic institutions basic technology.
- General understanding of generative AI and its current and potentially future use cases in an executive education environment.
- Self-motivated with a can-do attitude and able to work in a fast-paced innovative environment with mínimal supervision.
- Sharp analytical and problem-solving skills
- Able to work in ambiguous environments, reduce uncertainties and take decisions with calculated risks.
- Capacity to work under pressure and deliver on deadlines.
- Attention to details, particularly for data analysis and data handling.
- Business fluent in English, Spanish is a big plus.
- Curiosity, enthusiasm, creativity, and outstanding interpersonal skills.
- Excellent communication skills: listening, understanding and persuading.
- Excellent personal organization.

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