Internship: Data management of learning analytics
What we are looking for
- We are exploring new ways to harness the explosion in data availability for learning and knowledge building to support humanitarian, global health, and development workers progress to impact.
- We are building a new kind of database for our learning records.
- We are looking for an intern who loves data to help us automate
Why it’s great to join our team
We work hard to deliver amazing learning experiences that make a difference, but our approach to work provides for a lot of flexibility:
- Our team works remotely, so you can be located anywhere and work from home.
- You will be part of a global network of talented and high-potential LSi Associates.
- Mutilingual candidates are welcome because we work in English and French but also produce courses in other languages (Spanish, Arabic, Russian, and Chinese).
All LSi interns receive top-notch training and coaching, access to amazing learning opportunities for professional development, and can benefit from our mentoring programme for learning leaders. (We do not have a learning analytics guru in-house but are members of the Society for Learning Analytics Research [SOLAR].)
What is this internship about?
The intern will report to the digital learning specialist who is currently managing learning analytics, working on both solutions and development approaches.
Solutions-oriented approach: The intern will work with the digital learning specialist to progressively automate data collection, reconciliation, and analysis tasks currently being performed manually.
- Replicate an existing process used to produce data needed by the course team.
- Automate this process while ensuring that the output is fit for purpose.
- Demonstrate that this automated approach can be performed reliably during course production.
- Propose ways to improve the speed, quality, and/or relevance of the solution.
The digital learning specialist will review each proposed solution and request modifications if necessary, until the solution is fit for purpose.
- If the automated solution fails to meet the requirements, the intern will perform this task manually in a timely manner, up to or above the same standard as the current solution previously in place.
- Once this has been achieved, the intern will be asked to produce the data when it is needed by the course team for all of the courses in production.
Development-based approach: Alongside the solutions-oriented approach, the intern will work on the architecture, management, and analysis toward the establishment of a system to meet data needs.
- Develop and deliver a usable, effective data architecture that is fit for purpose.
- Develop a common application form that can be used for all Scholar programme courses.
- Revise, improve, and harmonize means (forms, web scraping, analytics) used to collect data across the platforms used.
- Ensure that the data architecture minimizes inefficiencies or overhead for the course team
- Clean, reconcile, and merge existing and incoming data sets for both current use and future use in a structured data base.
- Respond promptly to requests for specific data collated from existing records, preferably using automation.
- Create real-time dashboards showing data flows in relevant, meaningful ways that can be used by the team to make better decisions
The intern will ensure that standards and recommendations by SOLAR are applied and used to the fullest extent.
How to apply
- Your motivation letter should showcase your data management experience and expertise. (Applications without a motivation letter may be discarded.)
- Please include links (in your CV or your motivation letter) to at least two projects that demonstrate your capabilities. Be specific about your role and responsibilities in each project.
- Shortlisted candidates may be invited to take a written test.
About LSi and the Scholar Partnership
- Based in Geneva and a member of the Swiss EdTech Collider, LSi’s mission is to help international organizations execute change.
- The Scholar Partnership is the conjunction of the University of Illinois College of Education, the Geneva Learning Foundation, and LSi.
- Together, we develop ground-breaking digital learning initiatives to accelerate knowledge, network, and leadership development that can help tackle complex problems in global health, development, and humanitarian work.
Minimum qualifications, experience and capabilities
- Diploma, certificate, and/or demonstrated experience with data management.
- Mastery of Excel and at least one data analysis tool (R preferred).
- Excellent knowledge of SQL or a modern database used in web applications.
- Experience with cleaning, handling, and managing semi-structured data flows.
- Excellent analytical and synthesis skills.
- Experience in data analysis for education or other social sciences.
- Prior experience in data management specifically for humanitarian, global health and/or development learning, education, and training.
- Prior field experience in humanitarian, global health and/or development work.
Qualities we believe will help you succeed
- Organized, methodical person with great attention to detail.
- Proactive and self-directed as well as responsive to team needs.
- Ability to quickly adopt and master emerging technology platforms and agents to support effective learning.
- Ability to thrive in a global virtual team, working with team mates from many time zones and cultures.