to new heights. We're looking for highly skilled Data Analysts with experience in financial services, 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
/>The purpose of the Data Engineer is to leverage their data expertise and data related technologies
technologies, in line with the company 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
and solutions around big data that support the company strategy to become a data driven organisation.
client's data-driven culture, helping the business to generate meaningful value from data.
Financial Services company seeks a highly skilled Data Analyst/Scientist to help assist in the development entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation and technologies. Extract, cleanse, and validate data to be used for analysis. Translate Business Strategies measures and control systems to track progress. Extract data from various sources and convert it into meaningful Learning Ability to handle, interpret and analyse data efficiently. Proficiency in T-SQL, R, Python, Excel
to new heights. We're looking for highly skilled Data Analysts with experience in financial services, 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
least 10 years relevant experience as a developer as part of a team in a software development environment
ENVIRONMENT: FACILITATE data-driven decision-making and improve company operations as the next Data Scientist to Durban-based Financial Services company. You will drive Data Science projects, using sophisticated analytics also collaborate with other departments to design data strategies, build models, and embed those models Computer Science, Data Science, or a related field with proven work experience in Data Science roles, including R, have knowledge of data manipulation and visualization & expertise in Data Preprocessing, Feature
Position: Master Data Administration Officer Hire Resolves client is seeking a dedicated and detail-oriented detail-oriented Master Data Administration Officer to join their team in Rustenburg, North West. The ideal candidate managing and maintaining the organisation's master data records, ensuring accuracy and consistency across and maintain master data records in various databases and systems. Perform data cleansing and de-duplication activities to ensure data integrity. Identify and resolve data quality issues in a timely manner. Collaborate
skilled and detail-oriented Data Governance Analyst to join our organization. The Data Governance Analyst will accuracy, integrity, and security of our client's data assets. The primary responsibilities of this role implementing data governance policies and procedures, establishing data quality standards, conducting data audits stakeholders to improve data management practices. Requirements: 7-10 years of experience in Data Management Framework working as a Data Governance Analyst or in a similar role. Strong understanding of data governance principles
Tracker requires the services of a Lead Data Engineer, A Technical leadership role in the effective and large-scale products and services in the areas of Data Engineering, Data Warehousing, MSSQL, SSAS, SSRS and Reporting Business Intelligence, ETL, Azure data processing and relevant non-SQL data environments. KEY DUTIES AND RESPONSIBILITIES: Leadership Providetechnical leadership in delivery of Data Engineering products and solutions, within team of staff in Data Engineering teams. Continuously align delivery to the Tracker and Data Science team