individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better SQL, Python, and data visualisation techniques. Skilled in Microsoft Excel for data manipulation. Strong
businesses are in search of a Data Engineer with the capabilities of utilising data, machine learning, statistical the effective use of data by utilising cutting-edge technologies and model data preparation. Responsibilities:
Reference: NFP014177-AA-1 Are you a talented Data Scientist seeking an exciting opportunity to revolutionize harness the power of data to drive innovation and enhance customer experiences As a Data Scientist with us extract actionable insights from vast amounts of data. Your responsibilities will include: Collaborating teams to identify business challenges and develop data-driven solutions. Designing and implementing predictive risk assessment, and fraud detection. Utilizing big data technologies and cloud platforms to analyze and
in this pursuit they are in need of a passionate Data Scientist ready to design, prototype, and build by applying strong expertise in machine learning, data mining and conducting information retrieval within Develop actuarial / statistical models to enable data driven decision making. Identify appropriate models insights into member behaviour. Employ advanced data analytics and machine learning techniques to detect databases and data flows between systems. Ability to create dashboards, reports and data visualisation
skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling
Salt Data Analyst Are you a savvy data analyst with 1-2 years of industry experience and a financial latest tech cloud products and end-to-end BI and data analytics projects across clients spanning multiple industries. They are on the hunt for a talented Data Analyst with experience in building Power BI reporting especially financial reporting using ERP systems as the data source . If you have exposure to Power BI, Microsoft
Finance Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge
nux / Unix
Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash BMW Cloud Data Hub (CDH) BMW CDEC Blueprint · Any expertise in data modelling Oracle SQL. - Exceptional analytical skills analysing large and complex data sets Perform thorough testing and data validation to ensure the accuracy of data transformations. - Strong written Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc. · Experience working with Data Quality building data pipeline using AWS Glue or Data Pipeline, or similar platforms. · Familiar with data store
Linux / Unix
- Big Data
- Powershell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
- Expertise in data modelling with Oracle SQL.
- Exceptional analytical
complex data sets.
- Thorough testing and data validation to ensure the accuracy of data transformations
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience with Data Quality
APIs.
- Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.