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
Reference: Ire000032-JS-1 Data Analyst - FMCG An exciting opportunity exists for a Data Analyst to join our modification of business intelligence and MIS systems. The Data Analyst will interact with the business stakeholders added advantage. Understanding of SQL data base concepts and ODBC Data connections Skills: Ability to work master data, including creation, updates, and deletion. Commissioning and decommissioning of data sets environment, including data sources, security, and metadata. Supporting initiatives for data integrity and normalization
are growing their data space and are seeking to appoint an innovative, adept, Data Engineer to join their their team of Data Experts. As a Data Engineer, you will be responsible for developing best practices current workloads, optimize our data warehouse builds, data pipelines, and data products If this sounds like Azure) Azure Synapse Azure Data Lake Terraform ETL Data warehousing Data modelling Are You Qualified (Computer Science, Engineering, or similar) 3 years in a Data Engineering role or related field The Reference
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
Description Data Steward Location: Midrand Salary: R25 000 – R35 000CTC Mission The Data Steward will the local ERP system Provide general and technical data on existing part numbers, add local translation
Purpose: To support and maintain the data warehouse in line with the data model; metadata repository and to operational support. Job Responsibilities: Structure data into compliance standards by adhering to metadata standards and formats. Manage final transformed data content by complying to prescribed standards for units by providing consulting services that delivers data and information relevant to their business. Contribute experience of which 3-5 years' experience is in a data management /business role. SQL experience (essential)
specification document by identifying and analysing relevant data sources; documenting and applying business rules;
for this role Data Analysis Strategy Data gathering and analysis Valuable data insights Data integrity Business Science Power BI,SQL experience is key 3-5 years of data analytics experience, preferably in a large company Analysis and deep understanding of data extraction and manipulation of data techniques Proficient in Power complex data into simple written analysis including the use of visual representations of data outputs
Technical/Solution Goals Compile List of Stakeholders, Data Providers, and Consumers Define Agreed SLAs Review Review Current Engagement Model Assess VQ (Data) Breaks Process Develop Skills Matrix Unpack Possible Current and Solutions Define Support Requirements Assess Data Issue Portal and Processes Evaluate Performance Experience: 6 years Industry Experience: Finance Data Domain Knowledge (Experienced) Database Querying: Development Lifecycle Understanding (BA, Development, QA) Data Analysis/Processing Beneficial Skills: Finance/Banking/Product
inputting and maintaining company data through daily data capturing, quality assurance and customer support Financial KPA: To contribute towards achieving data impacted budgets (across ATT/AMS/KHU). 2. Customer Customer KPA: To provide the customer with accurate data and system support with agreed solution times and and business SLA's. 3. Operational KPA: To action data tasks and contribute towards the maintenance of databases (ATT/AMS/KHU) so that businesses process and data integrations run optimally on a continuous basis