Senior Customer Insights/Data Analyst (fully remote)
Craft Gin Club
- South Africa
- Permanent
- Full-time
- Understands ecommerce and customer data intrinsically, and has ideally worked within other online brands, has worked within a start-up / scaling business.
- Has experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.
- Will test the outputs of any reporting, and investigate data issues and work alongside the data engineer, technical teams and wider business to devise solutions in line with best practice.
- Creates and maintains customer behaviour models using data to identify the key modeling dynamics, and reporting to enable actualisation of assumptions and modeling out of the impacts through to a stock volume forecast.
- Can work alongside the business to shape business rules to facilitate better quality data, in order to provide better analysis.
- Will provide insightful and actionable customer-centric analysis and recommended actions to our finance and sales & marketing departments.
- Is comfortable with managing the end-to-end tasks within the data analysis framework.
- Serves as the technical lead on projects requiring data analytics input.
- Present information using the most appropriate data visualisation techniques for the required audience so they can draw conclusions quickly and make prompt decisions.
- Monitors trends and developments in the Retail industry and in broader Economic activity/policy to bring external context to our performance analysis, forecasting and decision making.
- Understands ecommerce and customer data intrinsically, and has ideally worked within other online brands, has worked within a start-up / scaling business.
- Has experience in using a variety of data tools, analysis methods and data visualization to turn data into actionable insights with demonstrable business impact.
- Will test the outputs of any reporting, and investigate data issues and work alongside the data engineer, technical teams and wider business to devise solutions in line with best practice.
- Creates and maintains customer behaviour models using data to identify the key modeling dynamics, and reporting to enable actualisation of assumptions and modeling out of the impacts through to a stock volume forecast.
- Can work alongside the business to shape business rules to facilitate better quality data, in order to provide better analysis.
- Will provide insightful and actionable customer-centric analysis and recommended actions to our finance and sales & marketing departments.
- Is comfortable with managing the end-to-end tasks within the data analysis framework.
- Serves as the technical lead on projects requiring data analytics input.
- Present information using the most appropriate data visualisation techniques for the required audience so they can draw conclusions quickly and make prompt decisions.
- Monitors trends and developments in the Retail industry and in broader Economic activity/policy to bring external context to our performance analysis, forecasting and decision making.
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Work From Home