for the Data Analyst Role:
overseeing the alignment of the data initiatives, data governance and data architecture in line with RAF's strategic priorities and objectives to ensure that data-informed decision-making and analytics capabilities Performance Areas Data Strategy and Governance Develop and implement a comprehensive data strategy that aligns Establish and enforce data governance policies and procedures to ensure data quality, security, and responsibilities on data stewardship programmes. Establish Transformation and Digital specific data quality metrics
primary role of the Data Protection Officer is to ensure that all data subjects (data from, staff, customers protected and conform to data governance policies. • Enforcing the Data Management and Data Breach Prevention and follow up on logs with card data and personal data and ensure data subjects are stored correctly or especially in a Hybrid environment. • Knowledge of Data Lost and Data Classification. • Good communication skills or equivalent qualification recognized by the Department of Higher Education & Training. • A and N
translate business requirements into Data/IT requirements. Data extraction use multiple languages (Sql) CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
translate business requirements into Data/IT requirements. Data extraction use multiple languages (Sql) CDEs (Critical Data Elements) source to target mapping (STTM), including knowledge of data dictionaries dictionaries Taxonomies Data Transformation Advanced data analysis using excel (Pivot tables) and the ability to Tools Data Remediation and associated activities: Data Remediation planning and tracking Data quality quality dashboards (design and implementation) Data Governance Compliance Knowledge of project assurance and
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent such as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements systems, are understood and adopted relating to data collection, integration and retention requirements
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
searching for a technical specialist. The purpose of the Data Specialist is to use their database, software engineering the necessary data is properly stored on the cloud platform and is available to the data scientists. Experience modelling of data Systems engineering and implementations experience Experience on the data services on Plan Design Data modelling using: Table structures Store Procedures SSIS Packages SQL Cloud Data Services: Implementing data pipelines using cloud infrastructure and services No-SQL experience on the cloud Data engineering
of an Intermediate Data Engineer who will play a crucial role in leveraging data-driven insights to drive measuring the success of data science initiatives. Design and implement data visualisation 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 modelling SQL. Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be
Intermediate Data Engineer Are you a talented intermediate data engineer looking for your Dream Developer working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience