Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: areas: Technical Data Management and Analytics: Developing and implementing data management plans to ensure ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: areas: Technical Data Management and Analytics: Developing and implementing data management plans to ensure ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
job:
developing, and maintaining master data management solutions to ensure data integrity, consistency, and accuracy role in implementing MDM solutions and supporting data governance initiatives. MDM Solution Development Development Design, develop, and customize master data management solutions using MDM platforms such as Informatica Implement data models, hierarchies, and relationships to support business requirements and data governance workflows, business rules, and data validation processes within the MDM platform Data Integration and Interoperability
brands and retailers have a vacancy for a Senior Data Analyst whose focus will be on building out our 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
Join the home of the changeables as an Intermediate Data Scientist implementing designs for the shapeshifters SQL queries to extract, manipulate, and analyse data from relational databases efficiently. Strong analytical Proficiency in data manipulation techniques using coding languages like SQL, Python or R, including data cleaning ability to tackle complex business problems using data-driven approaches, with a focus on continuous improvement Statistics or similar 4-6 years of experience as a Data Scientist Experience in SQL, SAS and Power BI Have
Excellent opportunity for a highly experienced DATA ANALYST experience in Auditing. Matric (Essential) generating reports and dashboards A minimum of 2-3 years' data analysis experience Experience in the insurance projects throughout their lifecycle and may include management of solutions or processes rolled-out as well development principles including change and project management. Areas of responsibility may include but not and plans to cross-functional team members and management. Gathering critical information from meetings
Join the home of the changeables as a Senior Data Scientist implementing designs for the shapeshifters SQL queries to extract, manipulate, and analyse data from relational databases efficiently. Strong analytical Proficiency in data manipulation techniques using coding languages like SQL, Python or R, including data cleaning ability to tackle complex business problems using data-driven approaches, with a focus on continuous improvement Statistics or similar 5 years of experience as a Data Scientist Experience in SQL, SAS and Power BI Have
Reference: PTA002937-CB-2 As a Data Analytics Specialist, you will be at the forefront of employing leading our client's data-driven culture, helping the business to generate meaningful value from data. To partner analytical and data-driven solutions. Build a deep contextual understanding of the business and the data to design meaningful business value. Work closely with the data provisioning team to ensure they can provide the consistent, and context-rich data assets that the team requires for data use cases. Create algorithms
PE010824-Tabz-1 The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the companies 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. Job