- Enablement of Self-Help Data Analytics: Establish processes, technology, tools, skills, and knowledge for data management and consumption.
- Strategic Analytics Services: Define complex business questions, develop appropriate analytics models, and identify relevant data sources for analysis.
- Engagements: Form meaningful partnerships with business stakeholders to extract maximum value from data and analytics tools.
- Central Analytical Services: Ensure congruence of information in daily, weekly, and monthly reports and dashboards published across the business.
- Commercialization of Data: Support Business Units with robust data science capabilities to drive business value through advanced data, mathematical, and statistical models.
- Team Leadership and Training: Lead and train a team of analysts.
- Protection of Personal Information: Ensure compliance with POPIA for customers, employees, and suppliers.
Essential:
- Tertiary Degree in mathematics / statistics / information technology or related discipline
- Honours Degree in Data Science/ Computer Science/Information Systems / Statistics/Applied Mathematics / Business Administration / Economics / Operations Analysis / Operations Research
- At least 10 years working experience as a Data Analytics, Data Management or Data Insights position within the retail industry.
- Proven and successful experience in execution of data analytics initiatives.
- Setting up data architecture and design.
- Leading large analytical teams.
- Building and leading quantitative analyses.
- working with a wide range of data to deliver and deploy descriptive, predictive, and prescriptive models.
Technical
- Proficient in data analysis tools (e.g. SQL, Python, R)
- Knowledge of cloud infrastructures for analytics.
- Experience in data visualization tools (e.g. Power BI)
- Knowledge of data warehousing for analytics.
- Problem solving using advanced analytics techniques.
- Highly proficient in working with data technologies.
- Experience in predictive modelling and predictive modelling way of thinking.
- Strong business / commercial acumen.
- Deep understanding of a retail environment.
- Strategic thinking - Be a thought leader in the data and analytics space as an enabler to drive execution of strategy.
- Innovation mindset: Encourage facilitate a culture of innovation and continuous improvement.
- Scalability
- Excellent Communication - Interact on all levels/with numerous departments personnel and departmental heads / executive management.
- Good presentation skills and ability to simplify complex scenarios Data and information management.
- Reporting visualization.
- Resilience and ability to work under immense pressure
- Ability to communicate complicated technical concepts to non-technical stakeholders
- Building strong relationships with data stake holders and business stake holders
- Critical thinking
- Adaptability
- Motivational leader
- Team building
- Project management skills resource management, planning, prioritization and execution
- Change management
