Reference: NFP014178-RDL-3 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 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
these
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these plus Extensive experience of designing, developing and testing ETL processes Experience of batch and real-time
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
insurance space is on the lookout for a AWS Data Cloud Engineer (big Data Engineer)Â
Knowledge
groups, permissions, VPC, roles, services.
buildup initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. requirements of the data & analytics environment Analyse business or system requirements and data to enhance years experience in MIS or systems analysis More than 3 years in a data environment Experience with ETL system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design Design, and Architecture experience Ideally - Airflow, Control-M, Athena, Redshift, CI/CD pipelines, and Github
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 impact of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst
Salt Senior Data Engineer | Innovative Tech Firm | Cape Town Model: Hybrid (3 days in office) Location: a Senior Data Engineer with a knack for AWS and Terraform to build and maintain their data infrastructure go-to expert for all data-related tasks. From architecting and managing the AWS Data Lake and Warehouse and ensuring data quality, you'll have the opportunity to influence every stage of the data journey. Requirements: Requirements: - Extensive experience in a fast-paced, consumer-focused environment. - Strong expertise
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 impact of data-driven decisions on business performance. Key qualifications for the Senior Data Analyst
clients are constantly looking for Data Engineers with hands-on experience and a stable track record. I will
/>Skills & Experience:
Minimum 3 years of professional experience as a Data Engineer.
Experience with data engineering tools such as ETL Tools, Data Pipeline Tools, Data Warehousing
Warehousing Tools, Data Streaming Tools.
Qualification:
Bachelors degree in computer