and designing the data integration architecture.
Implement and managing the Data Architecture landscape
landscape.
Data modelling and to assist when working with complex Data and multiple data sources.
Data Strategy, Managing the Master Data processes.
Establish data ownership and accountability
/>Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
Master Data Management, SAP MDM experience is essential.
the data to create actionable plans for the 13 operational sites across the EMEA region. The Data Scientist identify business problems and opportunities for data-driven solutions. Collect, clean, and manipulate other data scientists, engineers, and business analysts to develop scalable and efficient data pipelines gaining an understanding of the process context, data collection, and extraction methods. Continuously accuracy and effectiveness. Stay up-to-date with new data science and machine learning technologies and methodologies
JHB002500-TR-1 We are recruiting for a Data Architect. Defining and designing the data integration architecture. Implement managing the Data Architecture landscape. Data modelling and to assist when working with complex Data and multiple multiple data sources. Management - Develop Master Data Strategy, Managing the Master Data processes. Establish data ownership and accountability across business directorates. Qualifications Bachelor's Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
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
power of data to drive sales performance and achieve strategic business goals.
As a Data Intelligence
team, you will be instrumental in transforming raw data into actionable insights, facilitating
seamless collaboration, and ensuring data integrity and accessibility.
Academic
Education:
Bachelor's Degree in Data Science, Administration, Engineering, or related
Our client is looking for a Data Intelligence Analyst to join their team.
Responsib ong>
Identify and source relevant data from various internal systems (CRM, ERP) and external in-depth sales data analysis and create insightful reports and dashboards to communicate data-driven insights stakeholders.
Model Automation - Automate data analysis tasks and reporting processes to improve marketing teams, and other departments to translate data insights into actionable strategies.
Key
business up for success is searching for a Head of Data Analysis to be a functional leader and get results
Senior Sales Specialist: Data
Our client in the digital solutions industry value and capabilities of an ever-expanding data platforms, data management and analytics eco-system environment
innovative financial services have an opportunity for a data engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications design Ensure data governance and data quality assurance standards are upheld Conduct data design, database