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Data Analyst

Pepkor Lifestyle

Gauteng

On-site

ZAR 300 000 - 500 000

Full time

Today
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Job summary

A retail organization in Gauteng is seeking a Data Analyst to interpret data and provide insights for business decisions. The role involves executing data visualization strategies, developing reports, and collaborating effectively with stakeholders. Ideal candidates should possess a degree in a quantitative field, strong analytical skills, and proficiency in tools like SAS, SQL, and Python. Experience in retail environments is advantageous.

Qualifications

  • 1-4 years' experience in Data analytics.
  • Ability to analyse, model and interpret data.
  • Knowledge of complex IT environments.

Responsibilities

  • Execute data visualization and reporting strategy.
  • Develop and design reports based on stakeholder requirements.
  • Transfer knowledge of reports to end users.

Skills

Data analysis
Mathematical ability
Communication skills
Project management
Risk management

Education

3 year related degree (Data, Finance, Economics)
Post graduate qualification

Tools

SAS
AWS
SQL
Python
Microsoft Office
Google Workspace
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 expectationsDeciding and initiating Action
  • Knowledge and experience of Retail SAP architecture, implementation and operations
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