Trainee Data Analyst (Consulting Projects Division)

Introduction

We specialise in business and IT consulting specifically in Learning and Organisational Development services. Our bespoke learning solutions are highly recognised by clients across the world at the forefront of their business operations. Our focus is on retaining our prestigious key accounts, through the efficiency and quality of our service.

The Role

To support the growing volume of business, we are offering internships within project, we are searching for candidates who enjoy change and pace. The candidates should possess entrepreneurial spirit and ambition.

The role requires a team player with lots of initiative to manage the multiple elements involved in delivery of projects, particularly when it comes to delivering meaningful results by pulling data from the large data sets helping organisation and its clients make important decisions by identifying various facts and trends.

You will be working on a range of traditional and non-traditional projects. You will be highly organised, confident in liaising with clients and external resources, as well as providing flexibility in-field.

Duties & Responsibilities

Project Management:

• Ensure that all information is successfully updated into the system by monitoring and controlling all data upload applications (e.g., LEAP, Perfect Portal, SharePoint) as well as the data quality of individual projects.
• Developing and executing processes for monitoring, maintaining, improving, and restoring quality in respective client database.
• Integration of new data sources in cooperation with the development team (e.g., E-learning Projects).
• Assisting with internal development projects.
• Extend and continue to build out our team’s analysis dashboard (E.g., PowerBi).
• Manage and monitor our automated tasks (E.g., MS Flow, Power Automate).
• Monitor and audit data quality.
• Create data dashboards, graphs, and visualisations.

People/Line Management:

• Be proactively involved in non-project related activities.
• Support the senior team with data related requests.