Job Board

DATA ANALYST – diagnose, analyse & enhance efficiency for leading ONLINE RETAILER – R400K – R450K, CAPE TOWN

Job Title: DATA ANALYST – diagnose, analyse & enhance efficiency for leading ONLINE RETAILER – R400K – R450K, CAPE TOWN
Contract Type: Permanent
Location: Cape Town
Salary: R400K - R450K/annum
Contact Name: Gary Silbermann
Contact Email:
Job Published: June 04, 2019 12:11

Job Description

This is a great role for a DATA ANALYST who likes finding opportunities and identifying trends – if you’re keen to work in ONLINE RETAIL then this is your chance to boost the e-commerce penetration in Africa of the fastest growing Online Retailer.

Based in CAPE TOWN this RETAIL DATA ANALYST role offers a salary of R400K – R450K/annum.

As a leading ONLINE RETAILER / E-COMMERCE business, this company has boosted the potential of South Africa's ecommerce sector. A fantastic brand name and the excitement of a “start-up” environment, the customer base is growing exponentially, and this is an optimal time to join the team and make your mark! You will join a team of Retail Analysts, Insight Analysts, BI and Data Scientists and will therefore gain knowledge across all of these specialisations.

As a RETAIL ANALYST, reporting to the Retail Analytics Manager, you will perform data analysis to support root cause analysis and decision making in Retail. This will include descriptive, diagnostic and prescriptive analytics. The role includes performing process analysis and to design changes to improve the effectiveness and efficiency across all areas of Retail.
Technically you will develop spreadsheet-based prototypes or proof-of-concept tools to rapidly improve processes; Support the planning & budgeting of all Retail metrics: Build and maintain Excel and Google Sheets based tools; Coordinate planning activities according to timelines between various internal and external stakeholders. 

Strong commercial acumen and keen to work in Online Retail/E-Commerce.
Creative and practical problem-solving skills with a Solutions-oriented approach.
Capable of working with large and complex data sets. 
Technical skills needed include either SQL/MySQL, Advanced Excel, Google Sheets, Qlikview or similar reporting tool. 
If you’ve used either BigQuery or KNIME, that would be great but not essential.
Ability to present complex information in a clear and concise manner to a variety of audiences.
Bachelor’s Degree in an Analytical, Commercial, Engineering or Numerical discipline. 
At least 3 years’ experience in Data Analysis / Analytics or Management Consulting or Planning roles. 
Experience in the retail industry would be beneficial but not essential.

If you qualify for this role, please email your CV directly to:
Gary Silbermann 
021 801 5001

If you have not had a response to your application within 14 days please consider your application to be unsuccessful.