Data Analyst Lead Instructor-Ghana (Remote/Consultant)

JOB DESCRIPTIONS

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

●      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