Data Analyst
Pepkor Lifestyle
Sandton, Gauteng
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Data analyst roles across banking, retail and telecoms. Most ask for SQL and Excel as a baseline, with Power BI or Python for the better-paid posts.
Job description
Job Purpose The incumbent will be responsible to interpret data and turn it into information which can offer ways to improve a business, thus affecting business decisions. Required to gather information from various sources and interpret patterns and trends and deliver to end user accurately, timeously and in an understandable format.
Key Dials
- Execute on the data visualisation and reporting strategy, policy and processes
- Develop and design reports in a timely manner and aligned to the stakeholder requirements
- Transfer of knowledge and understanding of designed reports to the end user
- Deal with customers in a customer centric manner
- Effective self-management and teamwork
Minimum Qualification And Experience
- 3 year related degree (In a quantitative field i.e.: Data, Finance, Economics etc.)
- Post graduate qualification (advantageous)
- 1-4 years’ experience in Data analytics.
- A high level of mathematical ability and experience in SAS, AWS, CLOUD, SQL and Python.
- Proficient in Microsoft Office/Google Workspace. AWS experience advantage.
- Ability to analyse, model and interpret data
- Written and verbal communication skills
- Report writing
- Knowledge of complex IT environments (technical, security, business)
- Budgeting and Forecasting
- Financial Modelling
- Strong Investigation skills
- Project management
- Risk management
- Facilitation skills
- Learning and Researching
- Delivering results and meeting customer expectations
- Deciding and initiating Action
- Knowledge and experience of Retail SAP architecture, implementation and operations
Found on LinkedIn · Posted 1 weeks ago · Last checked Today
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Found on LinkedIn · Posted 1 weeks ago
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