Currently seeking a Business Data Analyst for a leading FMCG company based in Durban. Responsible for for developing and managing a data warehouse for the business, including all ETL processes required to supporting the businesses master data process, to ensure suitable levels of data accuracy and quality Degree/Diploma Computer Science, Data Science or Information Technology Minimum of 2 years of experience in data analysis, business business process mapping Firm understanding of data warehousing, data modelling and ETL processes Sound understanding
use your analytical brain to develop and maintain data pipelines and automation tools, assist with database bachelor's degree or honours in Computer Science, Data Science, Investments, or Mathematics. You also need languages commonly used in quantitative finance and data analysis, SQL is essential, Python and R are advantageous
the Chief Data Officer, the successful candidate will play a critical role in driving data-driven decision-making within the organisation. This position involves data collection, cleaning, and analysis, as well as presenting enhance performance. As a Senior Data Analyst, you will engage in complex data analysis, create insightful through robust data analysis. Key performance indicators include the accuracy and relevance of data insights of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst : Bachelor's
the Chief Data Officer, the successful candidate will play a critical role in driving data-driven decision-making within the organisation. This position involves data collection, cleaning, and analysis, as well as presenting enhance performance. As a Senior Data Analyst, you will engage in complex data analysis, create insightful through robust data analysis. Key performance indicators include the accuracy and relevance of data insights of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst : Bachelor's
Team and wider business stakeholders to analyse data and draw conclusions and insights to:
Consolidation of data from multiple data sources.
Internal and external stakeholder
Level.
MS PowerPoint must be able to summarise data analysis to communicate key messages in an engaging
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.
Financial Data Analyst (Financial Report Writer)
Our U.S. client is hiring
Reporting Structure:
Data Analyst (JB4551) Remote (Suitable for candidates in Gauteng only) R600 000 to R620 000 Annually retail sector is looking for a professional Data Analyst. The business' core focus is on providing retail Team and wider business stakeholders to analyse data and draw conclusions and insights to enable decision-making Minimum of 3 years' experience in a related field i.e. data visualization and analytics, working with businesses environment is desirable Consolidation of data from multiple data sources Internal and external stakeholder
Master Data Analyst/Approver. This role will specialize in supporting the flow of Master Data in the organisation ensuring adherence to established Master Data processes, governance, integrity, efficiency, security security, and availability of Business Partner data. This includes support to various business functions issues/errors for Business Partner Master Data and Article Master Data. If you think differently and want to discipline A minimum of 3 years' experience on Master Data related projects Strong knowledge of FMCG, supply
brands and retailers have a vacancy for a Senior Data Analyst whose focus will be on building out our processes market through powerful data pipelines. Responsibilities: Help streamline our data science and analytics analytics workflows by improving data delivery and quality to internal and external stakeholders. Use agile software Work closely with the data science and business intelligence teams to develop data models and pipelines and machine learning Model front-end and back-end data sources to help draw a more comprehensive picture