URGENT VACANCY JNR. DEVELOPER – DATA ENGINEER CAMPERDOWN, KZN Responsible for assisting the IT and IS systems / Computer Science • 3 years in position of data developer • MS Office – proficient • Valid SA Code experience – essential The post JNR. DEVELOPER – DATA ENGINEER appeared first on freerecruit.co.za .
Stipend: R 10,000 per month The post Graduate Trainee Data Analyst appeared first on freerecruit.co.za .
for all admin tasks within the department, capturing data into company system and maintaining database
scheduling appointments, organising client records and data entries.
and data integrity. Assist in the implementation and upgrade projects of SAP B1, including data migration creation of complex spreadsheets, pivot tables, and data analysis tools. Qualifications: Bachelor's Degree skills, including formulas, macros, pivot tables, and data analysis. Excellent analytical and problem-solving Detail-oriented with a strong focus on accuracy and data integrity. Preferred Qualifications: SAP B1 certification
yet engaging and informative copy / content that captures our audiences. Responsibilities (include but are
insurance, and prepaid expenses Enter relevant financial data into in-house Accounting Software Maintain and update volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans