MAIN PURPOSE OF JOB To effectively record and capture the daily operations activities relating to outsource yards overtime submission/ On Wheels Revenue capturing including all Fuel/Toll usage and to ensure that confirm Outsource sign on sheets daily and weekly. Capture and process Outsource hours on Company systems billing file. Compile Weekly Revenue reports. Capturing monthly KPl's for management. Create, update databases that may be required from time to time. Communicate with client on Preservation data/Stats (All external
Responsibilities:
Data Analysis and Modelling:
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
Currently seeking a Business Data Analyst for a leading FMCG company based in Durban. Responsible for for developing and managing a data warehouse for the business, including all ETL processes required to supporting the businesses master data process, to ensure suitable levels of data accuracy and quality Degree/Diploma Computer Science, Data Science or Information Technology Minimum of 2 years of experience in data analysis, business business process mapping Firm understanding of data warehousing, data modelling and ETL processes Sound understanding
has become available for a National Environmental Data Controller to join our dynamic team. To provide Track and monitor the SPAR Group's carbon footprint data as well as food waste volumes across territories regions and corporate stores. Conduct environmental data analysis and calculation methodologies for scope SPAR South Africa's state of compliance. Ensure data is aligned with external sustainability and public through the Careers Site and Pnet. Please refrain from calling the Distribution Centre (DC) or emailing
has become available for a National Environmental Data Controller to join our dynamic team. To provide Track and monitor the SPAR Group's carbon footprint data as well as food waste volumes across territories regions and corporate stores. Conduct environmental data analysis and calculation methodologies for scope SPAR South Africa's state of compliance. Ensure data is aligned with external sustainability and public through the Careers Site and Pnet. Please refrain from calling the Distribution Centre (DC) or emailing
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 .
Financial Services company seeks a highly skilled Data Analyst/Scientist to help assist in the development managing the entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model and technologies. Extract, cleanse, and validate data to be used for analysis. Translate Business Strategies and control systems to track progress. Extract data from various sources and convert it into meaningful requirements and service ad-hoc requests for information from clients within the required timeframe and specification
ENVIRONMENT: FACILITATE data-driven decision-making and improve company operations as the next Data Scientist to Durban-based Financial Services company. You will drive Data Science projects, using sophisticated analytics also collaborate with other departments to design data strategies, build models, and embed those models Computer Science, Data Science, or a related field with proven work experience in Data Science roles, including R, have knowledge of data manipulation and visualization & expertise in Data Preprocessing, Feature
Key Responsibilities: