ABOUT GENERATION
At Generation, we believe in the power of employment to change lives. We are a global nonprofit organization that supports adults to achieve economic mobility through employment. Generation trains and places adult learners of all ages into careers that are otherwise inaccessible, working in partnership with governments, employers, and other system actors. We also conduct original research and share data insights on high priority global workforce transition topics to inform decision-making by workforce system stakeholders. Launched in 2015, Generation comprises a global hub (Generation You Employed, or GYE) and a network of in-country affiliates. To date, the network has 100,000+ graduates and 11,000+ employers across 46 professions and 17 countries.
When learners join Generation, 91% are unemployed, of which nearly half are long-term unemployed. Three months after completing our program, graduates have an 78% job placement rate, rising to 88% within six months. Of our employed graduates, 68% are hired by repeat employers who have previously hired Generation graduates, and 89% are in jobs directly related to the profession for which we have trained them. Employed graduates immediately earn an average of 3-4X their previous earnings. Two to five years after graduation, 77% of our alumni from upper-middle income countries continue to meet their daily financial needs and 63% can save for the future. To date, Generation’s global graduates have earned more than $1 billion in wages. Generation graduates typically have a secondary school background, 54% are female, 34% have dependents, and the majority identify with underrepresented communities in their country.
Position Overview
We are looking for a dynamic and experienced person in data roles, motivated by Generation's mission and driven by the objective of helping everyone to start a new professional career.
Responsibilities
1. Facilitation of the "Data Analyst” training (in online/hybrid format) based on existing content (80 % of the time):
● Provide quality, effective, rigorous, relevant and adapted training to an adult audience
● Become familiar with and follow the course of the program as designed by Generation
● Ensure the involvement and active participation of our learners in the training program
● Take into account the feedback and results of learners and adapt your teaching accordingly
● Monitor, integrate and respond to learners' contributions and requests on our communication channels (Slack)
● Monitor and manage attendance of learners through our digital tools (Salesforce)
● Conduct assessments and report data on our traceability tools and report progress regularly
● Share feedback with the Generation team and implement the recommendations to guarantee quality training for our learners
● Effectively use digital tools such as Teams, Visual Studio Code, Canvas LMS and GDrive to perform daily instructional tasks
2. Activities peripheral to the training (20 % of the time):
● Build strong and trusting relationships with learners, develop a detailed knowledge of their strengths and challenges while ensuring a caring learning environment
● Support and motivate learners to be resilient in their professional as well as personal journeys
● Work actively and in close collaboration with the Generation team to identify and effectively counter potential obstacles to the success of learners and their integration into the professional environment
● Participate in the organization of the cohort launch
● Attend onboarding sessions as agreed with the management team before cohort launch
● Take part of coaching cycles determined per management with specified cadence; this could include instructional team meetings, coaching conversations, participating in communities of practice and/or take part of specific professional development activities for upskilling such as attending workshops/trainings
Experience and technical skills
● At least 1 year of experience working in a data analyst role such as: Data Analyst, Data Engineer, Business Data Analyst, Marketing Data Analyst, Financial Data Analyst, Data Specialist, Data Consultant
● Solid knowledge of technical topics, in particular:
○ Programming (Variables, Data Types, Control Flow, Functions, Web APIs)
○ Cloud Computing and Cybersecurity essentials
○ Statistics for data analysis (descriptive & inferential)
○ Excel for data analysis (basic and advanced formulas and functions, pivot tables, dashboards)
○ SQL (basic queries and subqueries, sorting and filtering, conditional logic, JOINs, aggregate functions)
○ Python for data analysis (data cleaning and manipulation, pandas, Matplotlib and Seaborn, EDA)
○ Power BI for data visualization and storytelling
○ Machine learning (main types and algorithms)
● Experience as a professional adult trainer essential
● Strong command of digital tools is key, in particular:
○ Google Workspace
○ Teams, including whiteboard, polls and breakout rooms options
○ Code editors such as Visual Studio Code
● Excellent communication skills (writing + oral expression), using communication online tools like Slack and emails