Overview

Partner:	Chancenwerk e.V.
Goal:	Reporting & Monitoring of the long-term impact of Chancenwerk
Skills:	* Data analysis, visualization, reporting, and automation in R / RMarkdown * Optional: Questionnaire design
Team:	* 1 Team Lead (collaboration and project management) * 3 Team Members (passionate about Data Science) * 1 Team Trainee (passionate about Data Science)
Project Start:	Mid-September 2024
Project End:	End of January 2025
Location:	Remote
Project Language:	Chancenwerk e.V. operates in German. Therefore, German language skills at a level that allows you to follow a meeting without difficulty (approx. B2) are required.
Application:	Until August 28, 2024 HERE
Resources:	Link to CorrelAid Data4Good Documentation

Project Description

Challenge

Chancenwerk, as a non-profit educational association, supports children and adolescents on their educational journey whose families cannot assist them for financial, time-related, or linguistic reasons. To capture the impact of their work and communicate it to funders, panel data is collected every six months. The goal of this project is to help Chancenwerk better utilize the potential of their data, including deeper analysis—particularly regarding the performance development of children and adolescents over time. Since the creation of reports is currently done manually, this step should be automated as much as possible, and the results should be visually prepared. Optionally, the questionnaire can be revised and expanded with suitable questions.

Data

The primary data source is the semi-annual panel survey of children and adolescents participating in Chancenwerk's programs, collected via LamaPoll. Additionally, registration data for Chancenwerk's programs (socio-economic data) could be used (subject to agreement).

Project Goals and Contents

The project focuses on automating processes that currently require significant manual effort and preparing them in a report that can be used long-term by Chancenwerk staff. There is also the opportunity to revise the questionnaire and/or conduct exploratory analysis of cross-sectional data.

The main contents of the project are:

• Identification of relevant variables in the data to map the development of children and adolescents over time (analysis of longitudinal data)
• Preparation of evaluations in an automated report for external communication, to be used continuously by Chancenwerk staff
• Graphical preparation of the reports
• Optional:
  • Develop ideas for expanding/improving the questionnaire
  • Exploratory data analysis of cross-sectional data and testing various hypotheses, e.g., "Does the data need to be analyzed regionally, or are the differences not significant?"

Result and Social Impact

The most important output of the project should be an automated report capturing the long-term impact of the work with children and adolescents, with results presented visually.

The project outputs will directly help Chancenwerk staff streamline recurring workflows, allowing them to focus more on their work with children and adolescents. Additionally, the results will help better understand the impact of their work and the needs of the target group.

Your Profile

CorrelAid projects offer you the opportunity to use and develop your skills and potential for the common good as part of a team. Here, you can acquire new skills, develop and test innovative solutions, and expand your experience. For the application and participation, you should above all have a strong enthusiasm for (survey) data and an interest in working in children and youth education. Furthermore, it is important in this project not to lose sight of the workflows in daily work to ensure a practical implementation that can be used long-term.

Here is some additional information about the project:

Time Commitment

• Approx. 4-6 hours per week

Motivation and (Learning) Experience

• Interest in developing a long-term solution in dialogue with Chancenwerk staff
• (Basic/advanced) knowledge of data analysis in R (tidyverse) and R Markdown or Quarto (to be agreed upon in the team)
• Experience working with panel data is an advantage
• Enthusiasm for the clear presentation and explanation of data and analyses. Creativity and enjoyment of cross-sectional and longitudinal data analysis. Output-oriented work.
• Experience in automating reports and data visualization is an advantage
• Interest in working in children and youth education
• Basic understanding of the Git workflow (pull, commit, push) or willingness to learn

Application

Open Team Positions

• 1 Team Lead
• 3 Team Members
• 1 Team Trainee

Application Link

APPLY HERE

Timeline

• Application: August 16, 2024 to August 28, 2024
• Team selection process: Early September
• Project kickoff: Mid-September
• Project work: Until end of January 2025