This is an excellent opportunity for a skilled INSIGHT ANALYST / DATA ANALYST – looking to gain DATA SCIENCE experience, by joining one of the fastest growing E-COMMERCE ONLINE RETAILERS.
This INSIGHT ANALYST role is 100% REMOTE WORKING, however preference will be given to people living in CAPE TOWN.
SALARY on offer is R700K – R750K/annum.
This is one of the most exciting, young and fastest growing ONLINE RETAILERS across the African Market. This business has made a huge impact in the E-COMMERCE industry and have one of the largest growing online data assets (web and mobile), which means that as a DATA ANALYST / INSIGHT ANALYST you can gain brilliant experience providing data insight which make a meaningful difference.
As an INSIGHTS ANALYST your work will inform a deep understanding of the ONLINE RETAIL Customer, providing insights and recommendations for driving increased customer acquisition, improved retention and increased frequency of shopping.
You will help design Marketing performance management trackers, reports and dashboards; and utilise analytics expertise to perform in-depth database analysis to better understand customer behaviour through segmentation and predictive modelling in order to provide a more customer-centric shopping experience.
Measure and analyse marketing campaigns to better understand how marketing channels can better drive conversion and customer acquisition, and provide in-depth analysis to help Marketing and Retail Teams understand growth drivers, and collaborate to ensure ongoing data-driven optimisation of initiatives.
Working with (and learning from) the Senior Analyst to implement and optimise a predictive model that will help drive acquisition and improve ROI.
Continuously identify new ways of how customer information can enhance business decisions and help to improve understanding and knowledge of the customer base.
Gain Data Science expertise, learn about Machine Learning and AI practices and technologies.
At least 5 years experience within Data Analysis / Insight Analyst.
Qualification in Statistics, Mathematics, Computer Science, Engineering or a Commercial field.
High proficiency in working with large data sets and business models.
A keen interest in Data Science and retail / e-commerce.
Advanced MS Excel is required.
Experience using google sheets.
Technical skills with SQL, R, Python will be an advantage.
Skilled in Google Analytics (certification advantageous).
Application of strong commercial insight, understanding and acumen in order to interpret, simulate and model customer behaviour.
Storytelling skills: Excellent communication and presentation skills and ability to weave a coherent, compelling narrative around the available data.
Analytical and data-driven with a demonstrated ability to operate both strategically and tactically.
Experience with data mining, data analytics, predictive modeling, and advanced modeling techniques.