Job title: Senior Data Analyst
Job type: Permanent
Emp type: Full-time
Salary: ZAR 1,000,000.00
Location: Cape Town
Job published: 09/03/2020
Job ID: 38457

Job Description

DATA ANALYST – work with REAL-TIME BIG DATA by joining leading E-COMMERCE ONLINE RETAILER – R840,000 – R1,000,000 – CAPE TOWN

 

This is a fabulous opportunity for a DATA ANALYST to join an exciting E-COMMERCE ONLINE RETAILER in CAPE TOWN.

 

This DATA ANALYST role offers you the chance to work in E-COMMERCE with REAL-TIME DATA – this is an opportunity to deliver INSIGHT and ANALYSIS which will be actioned immediately. You will work in a BIG DATA environment within a team of MARKETING INSIGHT DATA ANALYSTS, BI and DATA SCIENTISTS.

 

Based in CAPE TOWN this DATA ANALYST role offers a salary of R840,000 – R1,000,000.

 

What’s in it for you:

Work in E-COMMERCE with one of the fastest growing ONLINE RETAILERS.

Perform Data Analysis on REAL TIME DATA.

Gain skills in ROOT CAUSE ANALYSIS, online customers and ONLINE SHOPPING BEHAVIOUR, analysing large data sets, FORECASTING AND BUILDING PREDICTIVE MODELS.

Deep understanding of DIRECT MARKETING, MARKETING CAMPAIGNS MANAGEMENT, MEDIA AND MARKETING ROI, CONSUMER INSIGHT.

 

THE COMPANY:

One of the fastest-growing ONLINE RETAIL E-COMMERCE businesses in Africa. This is a customer-focused and data-driven business where Data Analysts steer all strategic business decisions. The company offers the opportunity for DATA ANALYSTS to grow their careers rapidly within e-commerce.

 

THE ROLE:

Within a team, you will analyse online shoppers looking at REAL-TIME DATA, measure effectiveness of integrated marketing and media campaigns, and forecast through PREDICTIVE ANALYTICS and DATA SCIENCE initiatives.

 

REQUIRED SKILLS:

Degree education - Qualification in a numerical discipline e.g. Statistics, Mathematics, Computer Science, Engineering or a Commercial field required (MBA advantageous).

Several years experience as a DATA ANALYST – ideally within RETAIL / FMCG / MANAGEMENT CONSULTANCY.

Experience with data mining, predictive modeling.

Advanced Excel, SQL, and reporting skills.

Expertise in Google Analytics will be an advantage.