Reference: HTJ001050-ES-1 Product Manager Data Analytics (Sage) Do you like dealing with operations and
including company data, public information, and purchased sources.
Purpose: 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. Job
Reference: ITE006012-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Purpose 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 Bank's strategy to become a data driven organisation. Job
analytics enabled business to create value through data engineering and analytics. Design, develop and optimise
Description The Data Scientist is responsible for collecting, analyzing, and interpreting complex data sets to involves applying statistical, machine learning, and data mining techniques to extract trends, patterns and insights from structured and unstructured data sources. The Data Scientist collaborates closely with cross-functional volumes of data from various sources, including databases, data warehouses, and external data providers providers. Design and implement data modelling, data mining, and machine learning algorithms to uncover patterns
Intern: Data Analyst (Logistics/Warehousing)
An exciting opportunity for someone passionate about data analysis and its applications in Logistics and Warehousing. As a Data Analyst specializing :
Data Collection and Analysis:
insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
employee welfare, is actively seeking a Process Data Science Services Engineer stationed at their Head problem to be solved, to convert data to prepared & contextualised data, to insights, to actions, to offering. This will include training fellow process data scientists to map insights to actionable advisories using appropriate software platforms for exploratory data analysis. Technical proposal, report writing and Intermediate in data analysis tools (e.g. Python). ATTRIBUTES: Proficiency with data analysis. Comfortable