Client realizes the business benefits of improved data analytics through the development and management gain insights from complex datasets, supporting data-driven decision-making efforts Contribute to shaping interpreting and presenting of financial, client and other data Consolidate, analyze, interpret and provide high Support stakeholders with data, insights, query resolution and ad hoc analysis of data Produce targeted reports for the business by providing insight and managing data analysis and interpretation on strategic issues
based on changes to users, interfaces, processes, data flows, constraints, environments, and non-functional games to model scope, interfaces, story context, data flows, processes, retrospectives, and dependencies enabler epics, enabler stories, and synthesize the data to articulate requirements. Work with development/QA quality principles. Analyze/document data requirements and model data flows through all seven product dimensions Analysis Discipline, Techniques and Practices l MS Office Product Behavioral Competencies: Decision Making
integrations that connect various software applications and data sources. This role involves collaborating with cross-functional document processes, and maintain compliance with data security regulations. Additionally, they will provide knowledge of APIs, web services (SOAP, REST), and data formats (XML/JSON). - Experience with programming platforms (AWS, Azure, Google Cloud). - Knowledge of data integration and ETL tools. - Familiarity with Agile
which will populate the Data Warehouse. Develop and enhance the back-end of the Data Warehouse to satisfy Diploma/Degree in Information Technology, Computer Science or data related qualifications. 5-10 years' experience in design and system analysis. Minimum of 5-10 years Data Warehousing experience. SQL/PLSQL knowledge essential and above). Data Modelling Tool Experience preferred. Basic UNIX scripting. Cloud-based data storage solutions creating star schema data models. Administration of DataStage 8.2 and above. Certified Data Management Professional
Internal Operations Team, Management and Tenants, capturing Performance Trends against the KPIs. Prepare timely
Internal Operations Team, Management and Tenants, capturing Performance Trends against the KPIs. Prepare timely
Accountabilities Leading team including drawing office & engineering, application engineers, quality of supplier documentation, as-builts, manuals and data books on throughout the contract. Closing projects
Diploma and/or relevant experience. - SAP HR. - MS Office. - Relevant HR/Resource management background beneficial beneficial. - Knowledge and adherence to data privacy requirements (advantageous). - Strong ability to
Software Engineer (Senior) Midrand/Menlyn/Rosslyn/Home Office rotation Amazing brand with innovative technology Ansible Experience with Business Intelligence and data visualization tools (e.g. AWS Quicksight) Experience workflows for database systems Experience with common data formats, e.g. YAML, JSON Experience in managing managing the integration of database systems, including data flow management Understanding of various database preferably in Python (e.g. to transform and share data between databases) Experience with restful APIs
Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates and Data Extraction Understanding