Responsibilities
- System Improvement (SI) Delivery
- Has a clear understanding of the Business requirements of the process or product in order to get value from the data
- Will create specs for PIT and work with PIT to ensure the correct tables and views are designed to use the data efficiently
- Ensures the correct processes are implemented to provide accurate data, within the agreed timelines
- Support of Existing Processes & New Systems Improvement Projects
- Developing Reports & Dashboards and Conducting Descriptive Analysis
- Weekly & Monthly reporting as required (incl. the automation of it if possible)
- Respond to Ad Hoc report requests
- Design & Creation of Dashboards as per Business Requirements
- Deliver insights to the business (descriptive analytics)
- Fully understands Ad Hoc Requests from business for analysis to be able to deliver insights that enable business to drive value and efficiencies
- Present analysis and recommendations to various role players (e.g. Exco or user)
- Enable Predictive and Prescriptive Modelling Projects
- Formulates the business problem and creates the requirements in conjunction with the business owners
- Develops project guidelines (including key players, resources required and timelines)
- Business degree with Analytical/Commercial subjects, Bachelor degree in Computer Sc., Maths, Eng. or equivalent NQF level 8 qual
- Minimum 3 years analyst experience, preferably in a financial services, logistics or ecommerce environment with a focus on delivering insights.
- Retail experience will be an advantage
- Above average computer literacy (MS Office, Excel, Google Workspace)
- Understanding of statistics will be an advantage
- Basic Big Query SQL
- Excellent knowledge of spreadsheets
- Knowledge of data modelling, data cleaning, data enrichment and visualisation techniques
- Knowledge of data visualisation tools (eg Data Studio, Tableau) will be an advantage
- Comfortable working and presenting to all, across the organisation
- Analytical mindset and good problem-solving skills.
- Have a creative and curious mind
- Proactive
- Can work independently
- Able to take responsibility and be self motivated
- Comfortable with data analytics
- Provide insights into data analysed
- Able to develop ideas and share them clearly (in non-technical terms when required)
- Able to work within a team
- Guide, mentor, and share knowledge with team
- Will respond in a supportive and patient and friendly / approachable manner (passionate)
- Competencies required: Devotion to Quality, Presenting, Structuring, Listening skills, Persuasiveness, Assertiveness, Drive, Analysing and forming opinions
