cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
Execution). Outlet and sales information capturing Capture and record all the sales and outlet information client's brands in all the allocated outlets and capture the dates on every second call: Short-dated stock and report opposition activity on daily basis (capture photos). Report abuse and anti-competitive behaviour include the following: Maintaining Key KPI's: Capture the GPS coordinates of the outlets when the module only, petrol card, Company cell phone, airtime and data)
Execution). Outlet and sales information capturing Capture and record all the sales and outlet information client's brands in all the allocated outlets and capture the dates on every second call: Short-dated stock and report opposition activity on daily basis (capture photos). Report abuse and anti-competitive behaviour include the following: Maintaining Key KPI's: Capture the GPS coordinates of the outlets when the module only, petrol card, Company cell phone, airtime and data)
database Considering both back-end organisation of data and front-end accessibility for end-users Refining design so that it can be translated into a specific data model Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata) Controlling SQL replication and exporting & importing of data is essential Must be able to create MS SQL Logins
database Considering both back-end organisation of data and front-end accessibility for end-users Refining design so that it can be translated into a specific data model Further refining the physical design to meet documentation, including data standards, procedures and definitions for the data dictionary (metadata) Controlling SQL replication and exporting & importing of data is essential Must be able to create MS SQL Logins
transfer the necessary data according to business needs Clean and prepare data for reporting Recommend Recommend techniques and strategies to optimize data storage, reporting, and analysis Document the solutions knowledge of database management Integration of data from multiple systems with inherent complexity Advantageous:
theoretical and on road practical driver training. Capturing of supporting documentation for internal and external
theoretical and on road practical driver training. Capturing of supporting documentation for internal and external
and rebates. Retail Data Book Management: Maintain and analyse the retail data book monthly. Non-Fuel Microsoft Excel, including advanced functions and data analysis tools. Experience with Microsoft Business
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