specification document by identifying and analysing relevant data sources; documenting and applying business rules;
CON001695-Kyle-1 The "TECHNICAL data analyst" skills required to enable the data lifecycle within EDS, namely profile source data and complete the relevant mapping documentation to enable the data integration between Experience, Knowledge and Understanding of: (a) Data warehousing concepts is advantageous. (b) Agile Technical Data Analysis Profiling experience is essential (d) Able to identify raw vs transformed data, transactional Cloud Products The "TECHNICAL data analyst" skills required to enable the data lifecycle within EDS, namely
JHB001864-Chris-1 We are looking for a skilled DATA ANALYST who can work in a fast-paced project environment quality delivery. JOB DESCRIPTION: Job Title: Data Analyst Employment Type: 3.5 Months Contract, Hybrid including Data providers Data consumers. Improve the current engagement model. Manage the VQ (data) breaks and solution. Define Support requirements. Assess data Issue portal process. : Covers T&A, current EXPERIENCE REQUIRED: 6 years of experience. Finance data domain Knowledge (Experienced). Database querying
consisting of an architect, project manager/analyst, and solution analyst. The primary objective is to unpack 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:
a skilled Data Architect to join our team and take ownership of our organization's data architecture and managing complex data systems. They will work closely with our engineering, data science, and business understand requirements, design solutions, and ensure our data infrastructure meets our evolving needs.
Key
Design Data Architecture: Develop and maintain an optimal data architecture blueprint requirements.
Data Modeling: Design and implement logical and physical data models that translate
your expertise in data analysis to the next level? Join us as a Senior Data Analyst and become an integral insights from data, drive process improvements, and support strategic decision-making. Qlik data modelling; modelling; Generating information and insights from data sets and identifying trends and patterns; ETL Framework Framework – This includes an understanding of data extraction, transformation, and modelling; Locate and define Providing technical expertise in data storage structures, data mining, and data cleansing; Implement strategies
consisting of an architect, project manager/analyst, and solution analyst. The primary objective is to unpack 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:
Client is looking for a Analyst, located in Johannesburg Job responsibilities: Data Analysis and Interpretation: Interpretation: - Analysis of complex data sets to derive actionable insights. - Development and maintenance enhance actuarial processes. - Collaborate with data scientists and engineers to develop AI-driven solutions Expertise: - Assessment and analysis healthcare provider data. - Evaluate pricing strategies, reserve requirements development projects to advance our firm's capabilities. Analyst – Job Spec Ad hoc: - Support senior resources with
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various closely with stakeholders, including business analysts, data scientists, and IT professionals, to understand business requirements and translate them into robust data models.
Â
What you’ll do
logical, and physical data models to support business requirements and data analysis needs.
and designing the data integration architecture.
Implement and managing the Data Architecture landscape
landscape.
Data modelling and to assist when working with complex Data and multiple data sources.
Data Strategy, Managing the Master Data processes.
Establish data ownership and accountability
/>Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
Master Data Management, SAP MDM experience is essential.