Services industry is seeking to employ an experienced Data and Management Information Systems (MIS) Manager proficient, need to be comfortable to work with data & analyse data. Ability to function at an operational proficient, need to be comfortable to work with data & analyse data. Strong financial background & comfortable Action orientated and pro-active. Computer literacy: Data Management, MSOffice (strong Excel), Power BI (preferable control of data into production environment Update dashboards as per internal SLAs. Align with data architecture
Join Our Team as a Data Engineer Our client in the retail industry, based in Sandton Johannesburg, is is seeking a Data Engineer for a permanent role. Are you passionate about turning raw data into valuable valuable insights? Do you thrive on building robust data pipelines and contributing to innovative solutions 5-10 years' Experience in designing and developing data warehouses (Kimball methodology.) Adept at design processes. SQL development experience, preferably SAS data studio and AWS experience The ability to ingest/output
retail industry who are currently in search of a Data Analyst based in Sandton . Experience a diverse 3-year related degree (In a quantitative field ie: Data, Finance, Economics etc.) Post graduate qualification qualification (advantageous) 3-7 years' experience in Data analytics. A high level of mathematical ability and security, business) Knowledge of retail industry data models Knowledge of compliance and IT governance model and interpret data. If you have a passion for analyzing and interpreting data to influence business
Purpose: To support and maintain the data warehouse in line with the data model; metadata repository and to operational support. Job Responsibilities: Structure data into compliance standards by adhering to metadata standards and formats. Manage final transformed data content by complying to prescribed standards for units by providing consulting services that delivers data and information relevant to their business. Contribute experience of which 3-5 years' experience is in a data management /business role. SQL experience (essential)
specification document by identifying and analysing relevant data sources; documenting and applying business rules;
for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business Science Power BI,SQL experience is key 3-5 years of data analytics experience, preferably in a large company Analysis and deep understanding of data extraction and manipulation of data techniques Proficient in Power complex data into simple written analysis including the use of visual representations of data outputs
Responsible for driving the BI strategy, driving data driven decision-making and operational excellence maintaining reports, dashboards,scorecards,KPIs,data models,accuracy and quality. Take a lead role in tools and systems ensuring data accuracy. Create, support, and maintain data models, reports, and dashboards address evolving data requirements. Ensure the accuracy and integrity of customer master data Conduct in-depth in-depth data analysis to uncover valuable insights that support strategic decision-making. Develop and
Responsible for driving the BI strategy, driving data driven decision-making and operational excellence maintaining reports, dashboards,scorecards,KPIs,data models,accuracy and quality. Take a lead role in tools and systems ensuring data accuracy. Create, support, and maintain data models, reports, and dashboards address evolving data requirements. Ensure the accuracy and integrity of customer master data Conduct in-depth in-depth data analysis to uncover valuable insights that support strategic decision-making. Develop and
provide meaningful analytics and insights, integrating data from various internal and external platforms and including online testing of business data collected from the data warehouse and various business systems to further support business Extract and analyse data, identifying trends in systems and applications currently and predict future forecasts Create and apply data management solutions that are relevant and provide provide information for the business to ensure the data adds value to the operations and that the business
gather data from internal systems to support financial data as reported in Pastel, analyse data from internal IFRS17 standard and application thereof, reconcile data between internal systems and Pastel, and integrate Gathering data from internal systems to support financial data as reported in Pastel; Analyse data from internal standard and application thereof; Reconciliation of data between internal systems and Pastel; Integration internal systems with Vena database; Formatting of Vena data to prepare it for the IFRS 17 system, "Risk Integrity";