Reference: JHB001787-GuguN-1 Job Description: The Data Scientist will focus on developing cost variance variance use cases as part of Exxaro Resources' Data & AI Strategy. This position entails working onsite statistical and machine learning techniques to drive data-driven decision making. - Present findings to both What We're Looking For: - Experience:4-6 years in data science roles. - Skills: Proficiency in Python, analysis and modeling techniques. Experience with data visualization tools (e.g., Tableau, Power BI). -
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
Reference: JHB000157-TK-1 Data Engineer (SAS) Contract Remote Job Title: Data Engineer (SAS) Location: seeking a skilled Data Engineer to join their dynamic team. If you are passionate about data engineering and we want to hear from you Job Description: As a Data Engineer (SAS), you will play a crucial role in client's data infrastructure. You will work closely with cross-functional teams to ensure data is accessible handle complex data engineering tasks. Key Responsibilities: Design, develop, and optimize data pipelines
driven DATA ANALYST/BI SPECIALIST to join their team and play a key role in transforming raw data into intelligence. JOB DESCRIPTION INFORMATION: Job Title: Data Analyst / BI Specialist (Power BI, SQL) Employment Sandton or Stellenbosch JOB PROFILE SUMMARY: As a Data Analyst / BI Specialist, you will be responsible requirements and translate them into comprehensive data solutions using Power BI and SQL. KEY DUTIES AND and communicate key metrics and trends. Perform data analysis to identify patterns, trends, and correlations
Responsible for month end processes and assist in capturing of data Ensure compliance, corporate governance, procedures
the insurance industry, dedicated to leveraging data-driven insights to drive their business forward Intelligence tools and a passion for transforming data into actionable insights, we want to hear from you organization to ensure data accuracy, develop complex ETL processes, create insightful data visualizations, and support data-driven decision-making. Key Responsibilities: Design, develop, and optimize ETL processes processes using SSIS. Develop and maintain data cubes and mining models using SSAS. Create, manage, and
create information architectures, classify and map data elements, and document requirements
create information architectures, classify and map data elements, and document requirements
which will populate the Data Warehouse. Develop and enhance the back-end of the Data Warehouse to satisfy Diploma/Degree in Information Technology, Computer Science or data related qualifications. 5-10 years' experience in design and system analysis. Minimum of 5-10 years Data Warehousing experience. SQL/PLSQL knowledge essential and above). Data Modelling Tool Experience preferred. Basic UNIX scripting. Cloud-based data storage solutions creating star schema data models. Administration of DataStage 8.2 and above. Certified Data Management Professional
Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates and Data Extraction Understanding