extensive exp in data migration, integration, and ETL processes. Exp with SQL, NoSQL data storage, Snowflake Apache Spark. Exp with cloud-based data platforms (AWS, GCP, Azure). Data architecture, governance, quality integrations. Craft data models and schemas tailored to meet business objectives. Data storage solutions solutions, including relational databases, data warehouses, data lakes, and MS SQL databases. The post Database
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";
business. ENVIRONMENT: PLAY a pivotal role in driving data-driven decision-making within the organisation of for gathering, analysing, and interpreting complex data sets to provide actionable insights that will inform methodologies. You will also need proven experience in BI, Data Analysis, or a related role - Product Owner/Scrum in SQL for data extraction and manipulation, Tableau and Power BI or similar. DUTIES: Data Collection Collection and Analysis - Gather and consolidate data from various sources, including databases, spreadsheets,
specialist firm is on the lookout for a dynamic Senior Data Engineer to spearhead the creation and implementation technologies. If you're a seasoned expert in finance and data with a drive for innovation, seize this chance to driving force of innovation and excellence as a Senior Data Engineer. Don't miss out on this thrilling opportunity—apply to new heights Experience and knowledge Excellent data analysis and exploration using T-SQL, and strong procedures, functions) Knowledge and experience of data warehouse modelling methodologies Experience in
financial institution in South Africa, is seeking a Data Solutions Architect to join their team in Sandton Purpose To define the technology solution for the Data and Analytics (D&A) environment and ensure that to Line Head: Data and Analytics Responsibilities: Technical Design of the Managed Data Estate / BI Solution management Delivery and development of best practice data architecture standards, policies and procedures and design including creating and evaluating new data patterns. Certified industry qualifications: Cloud
ong>
Minimum of 3 years data analyst experience
a reputable service provider Minimum of 3 years data analyst experience Financial industry (banking/finance/insurance) business decisions, through analysing/reporting on data trends, and using trends to forecast business trends analysis, and interpretation of data. Key Performance Areas: Data preparation and analysis utilising utilising Visual Studio Code and Power BI Reporting on data Presenting findings that communicate trends, patterns opportunities through patterns and trends. Keeping Data Governance Documentation up to date and the maintenance
concerns
strong understanding of financial platforms and data services is critical to this role.
Â
industry knowledge of current business architecture, data management and governance with a proven delivery
width="67%"> Experience in business data analysis and data flow mapping for data elements and data virtualisation services
width="83%"> Understanding of key business concepts and data broker data services such as DOHA verification, financial
ding of key data virtualisation platforms such as DENODO and the development of API data services for
and reconciling of companys investment accounting data.