Old Mutual Data Capturer Jobs in South Africa - Page 3
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Data Architect
Cape Town City Centre
PBT Group has an opportunity for a Data Architect. The data architect will define, design and deliver multi-year vision to drive the maturity of enterprise data assets. The position will be responsible for the performance and strategic input into the data platform and data assets. You will need to provide technical implementing, and maintaining data models and database designs to build the data “lakehouse”. The role also support, and enhance the business intelligence or data platform
share this job on whatsappData Specialist
Pinetown
R40 000.00 per month (cost to company) 5 years experience as a Data Specialist.
- Collect, store & manage data effectively.
- Analyse large sets of data to identify trends, patterns
- Establish data quality standards & security measures.
- Translate data into understandable
- Clean & process data to remove inconsistencies, ensuring data accuracy & reliability.
Data Analyst
Stellenbosch
talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across end-users to develop differentiating business insights. Data Analysts should be skilled in SAS, GCP, Python and using a variety of data tools, analysis methods and data visualization to turn data into actionable insights end-user discussions.
Data Modeler
Johannesburg
Negotiable 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 with stakeholders, including business analysts, data scientists, and IT professionals, to understand business requirements and translate them into robust data models.
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What you’ll do
logical, and physical data models to support business requirements and data analysis needs.
Data Scientist
Cape Town City Centre
passion for data? Join our team as a Data Scientist and be a key player in shaping our data-driven future
Responsibilities:
- Data Integrity: Leverage your expertise to process process, cleanse, and ensure the integrity of data used for analysis.
- Algorithm Development: Utilise machine learning techniques to improve data quality and generate reports with actionable insights nce: 2+ years of working experience in Data Science.
- Education: Degree
Data Architect
Johannesburg
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.
Data Analyst
Johannesburg
Monthly />
- Source information from different data warehouses, data marts, manual systems and on-line systems appropriate data sources given the business requirement
- Collect and package data into usable understanding of insights and opportunities presented by the data set
- Prepare customised reports based on business cases is credible by ensuring accuracy of the data used
- Propose approaches to the business of data received to support the measures or KPIs
- Analyse trends within the business data to reduce
Data Analyst
Irene
An exciting opportunity exists for a Data Analyst to join our Company! This position
business intelligence and MIS systems.
The Data Analyst will interact with the business stakeholders
advantage.
- Managing users and user roles.
- Managing master data, including creation, updates, and deletion.
- Commissioning
- Commissioning and decommissioning of data sets.
Data Analyst
Johannesburg
Technical/Solution Goals
Beneficial
Data Engineer
Johannesburg
Services industry, is seeking a highly skilled Senior Data Engineer to join their dynamic team. In this role robust data pipelines, ensuring the availability, reliability, and accessibility of our data assets. Your expertise in data warehousing principles and experience with Hadoop components will be invaluable invaluable as we strive to optimize our data infrastructure and support our business intelligence initiatives field.
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