are seeking a meticulous and detail-oriented Data Analyst to join our dynamic team. The successful candidate sorting, filing, cleaning, managing, and manipulating data from various sources daily. You will work closely handling of all incoming data. You will be working with BBBEE & ESG related data which is received in ect and process data from multiple sources daily.
Reference: NFP014178-RDL-4 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial services products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
new heights. We're looking for highly skilled Data Analysts with experience in financial services, consulting Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
is looking for a Junior Actuarial / Data Analyst to become an integral member of their evaluating their performance.
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
Ideal candidate is someone with a data analyst or business analyst background within stockbroking or investments and is passionate about automation, data analytics and digitisation.
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Reference: NFP014178-RDL-4 Are you a skilled data enthusiast with a knack for business analysis? We are talented individual to join our client's team as a Data Analyst Job Description: Join a leading financial services products and processes under analysis Investigate data integrity issues alongside the wider team and propose propose viable solutions Communicate complex data insights to both technical and non-technical stakeholders teams to develop data-driven solutions and strategies Establish and implement data validation protocols
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
As a Data Analyst, you will play a crucial role in analyzing complex data sets, generating actionable and supporting data-driven decision-making across the organization. Your expertise in data analysis and with cross-functional teams to understand their data needs and provide analytical support