Recru It: Data Analyst I (Retail)
Recru It
Gauteng, South Africa
5d ago
source : findojobs-za

Reference : PE009295-LM-1 Position Purpose : To increase competitiveness and profitability of a product category by providing analysis, supporting, planning, and executing the customer centric category strategy based on product assortment, pricing, promotions, and product placement.

The ideal candidate must have a passion for retail (FMCG) sound channel and customer knowledge & understanding to develop effective in-store retail operations analysis.

Possess an amazing flair for in-store retail analytics generating options / alternatives, creating plans, and making relevant connections to performance and commercial impacts.

Be able to apply expertise and technology delivering results and meeting customer expectations. This position requires one to be retail orientated and have financial and / or business acumen.

Qualifications : Degree or diploma in commerce, information or computer science discipline or analytics certification or equivalent (preferred) but not essential if you have the right track record of delivery : specifically, in in-store retail operations orientated and full pipeline data analytics.

Job objectives : Best practice research and adoption : in-store retail operations data mining and analysis. Build an understanding of the company Division's data landscape, particularly as it pertains to the in-store retail operations context.

Participate in defining business problems with appropriate questions and by proposing a specific analysis approach (full data pipeline).

Apply sound data methods, integration, and programming. Apply deeper data exploration and correlation analysis including building and deploying data models.

Participate in identifying and adopting appropriate technology. Experience : Ideally a minimum of 2-3 years’ experience in data and analytics in the FMCG Retail environment with great practical experiences and exposures in all facets of retail ideally in a fast paced and evolving environment.

Must be operationally equipped and understand the immediate practical data inputs that make up a sound data framework in this retail context (essential).

Knowledge and skills : Sound knowledge of retail key performance indicator’s. Excellent analytical skills. Solid advanced Microsoft Suite with Excel (advanced) (essential).

Report writing skills in Tableau software or similar (essential). Strong understanding of data mining models, structures, theories, principles, and practices.

Knowledge of Business Intelligence and Data Warehousing. AWS / cloud. Knowledge of legislation relevant to the collection, storage, and exploitation of customer data (essential).

Knowledge of data structures relevant to both operational and business intelligence systems (essential). Skill in using the open-source statistical package R, Python or similar (advantageous, but not essential if the candidate have knowledge about excel, sql and tableau).

Skills in using SQL in the data mining process, particularly for data preparation. Presentation skills using Microsoft Office 365 PowerPoint (essential).

Office 365 (outlook, sheets, docs, slides etc.) (preferred). Sound English communication skills (essential). Good time management skills (essential).

Good understanding of the data analysis process, from asking questions to presenting findings (essential). Position Purpose : To increase competitiveness and profitability of a product category by providing analysis, supporting, planning, and executing the customer centric category strategy based on product assortment, pricing, promotions, and product placement.

The ideal candidate must have a passion for retail (FMCG) sound channel and customer knowledge & understanding to develop effective in-store retail operations analysis.

Possess an amazing flair for in-store retail analytics generating options / alternatives, creating plans, and making relevant connections to performance and commercial impacts.

Be able to apply expertise and technology delivering results and meeting customer expectations. This position requires one to be retail orientated and have financial and / or business acumen.

Qualifications : Degree or diploma in commerce, information or computer science discipline or analytics certification or equivalent (preferred) but not essential if you have the right track record of delivery : specifically, in in-store retail operations orientated and full pipeline data analytics.

Job objectives : Best practice research and adoption : in-store retail operations data mining and analysis. Build an understanding of the company Division's data landscape, particularly as it pertains to the in-store retail operations context.

Participate in defining business problems with appropriate questions and by proposing a specific analysis approach (full data pipeline).

Apply sound data methods, integration, and programming. Apply deeper data exploration and correlation analysis including building and deploying data models.

Participate in identifying and adopting appropriate technology. Experience : Ideally a minimum of 2-3 years’ experience in data and analytics in the FMCG Retail environment with great practical experiences and exposures in all facets of retail ideally in a fast paced and evolving environment.

Must be operationally equipped and understand the immediate practical data inputs that make up a sound data framework in this retail context (essential).

Knowledge and skills : Sound knowledge of retail key performance indicator’s. Excellent analytical skills. Solid advanced Microsoft Suite with Excel (advanced) (essential).

Report writing skills in Tableau software or similar (essential). Strong understanding of data mining models, structures, theories, principles, and practices.

Knowledge of Business Intelligence and Data Warehousing. AWS / cloud. Knowledge of legislation relevant to the collection, storage, and exploitation of customer data (essential).

Knowledge of data structures relevant to both operational and business intelligence systems (essential). Skill in using the open-source statistical package R, Python or similar (advantageous, but not essential if the candidate have knowledge about excel, sql and tableau).

Skills in using SQL in the data mining process, particularly for data preparation. Presentation skills using Microsoft Office 365 PowerPoint (essential).

Office 365 (outlook, sheets, docs, slides etc.) (preferred). Sound English communication skills (essential). Good time management skills (essential).

Good understanding of the data analysis process, from asking questions to presenting findings (essential). R

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