Reference: NWA003560-CH-1 Are you a Data Analyst that is looking for that one opportunity where you can company in the North of Johannesburg is looking for a Data Analyst to take control of BI projects, analyse analyse user requirements as well as to audit data. Job Experience & Skills Required: Relevant Tertiary experience within the IT environment operating as a Data Analyst At least 1 year experience working with
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
Join Our Client's Team as a CRM Commercial Data Analyst Our client, a leading global hygiene and health company, is excited to welcome a CRM Commercial Data Analyst to their team in Johannesburg. In this role cross-functional global team Contribute to the development of a data-driven performance mindset/way-of-working across
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
talented Data Solution Architect to join our dynamic team and play a crucial role in shaping our data infrastructure develop, and implement robust data solutions, including data warehouses, data lakes, and BI platforms. Conduct performance analysis, tuning, and administration of data solutions. Collaborate with cross-functional teams scalable data architectures. Leverage cloud platforms, particularly AWS, to deploy and manage data solutions solutions. Ensure data integrity, security, and compliance with industry standards and best practices. Required
Business/Data Analyst with a strong foundation in statistical analysis, data modeling, and and business intelligence. Adept at transforming data into actionable insights to drive business decisions Business Intelligence Data Analyst Africa during time of absence.
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
solutions around big data that support the Bank's strategy to become a data driven organisation.
and maintain data pipelines using AWS technologies.
Implement and manage Big Data solutions.
Collaborate within Agile teams to deliver high-quality data solutions.
Essential Skills:
Data tools.
Familiarity with AWS services like Glue
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
highly skilled Business Intelligence Analyst & Data Scientist to join their dynamic team. The successful successful candidate will be responsible for managing data retrieval and analysis within the organization and organizing data flow, communicating between senior management and the IT department, and analyzing data to determine sources including company data, public information, and purchased sources. Write data collection and processing processing procedures (in SQL). Ensure that data is correctly gathered, stored, and reported. Report on key