skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling
primary role of the Data Protection Officer is to ensure that all data subjects (data from, staff, customers protected and conform to data governance policies. • Enforcing the Data Management and Data Breach Prevention and follow up on logs with card data and personal data and ensure data subjects are stored correctly or especially in a Hybrid environment. • Knowledge of Data Lost and Data Classification. • Good communication skills
overseeing a team of data verifiers, ensuring they maintain accuracy and efficiency in data verification processes Train and manage Data Verifiers · Develop and maintain quality control procedures for data verification · Motivate and coach data verifiers to achieve individual and team goals · Address and resolve data discrepancies Escalate complex data quality issues to designated personnel · Ensure adherence to data security and privacy report data verification metrics · Maintain a positive and productive work environment for the data verification
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overseeing a team of data verifiers, ensuring they maintain accuracy and efficiency in data verification processes Train and manage Data Verifiers · Develop and maintain quality control procedures for data verification · Motivate and coach data verifiers to achieve individual and team goals · Address and resolve data discrepancies Escalate complex data quality issues to designated personnel · Ensure adherence to data security and privacy report data verification metrics · Maintain a positive and productive work environment for the data verification
months fixed term contract and contribute to their data-driven approach to financial management and decision-making of financial data. The ideal candidate will possess a strong background in finance, data analysis, and Qlik. Collaborate with finance teams to understand data needs and provide actionable insights to support decision-making. Design and implement data models, ETL processes, and data warehouses to facilitate comprehensive regular data validation and quality checks to ensure the accuracy and integrity of financial data. Provide
SQL technologies and a special focus on financial data reporting and analytics . This role involves working experience in BI Development, ETL, Analysis Services, and data warehousing within a Microsoft environment. Required experience in BI development and data warehousing with a focus on financial data. Strong analytical skills and Experience with financial systems and understanding their data and reporting frameworks. Knowledge of financial and Power BI solutions to meet specific financial data reporting and analysis requirements. BI Development:
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Ability to develop in Data Drive Programming languages such as Python and Big Data pipelines such as ETL calculations from a developer perspective. Expertise in Data Intelligence and Business Intelligence. Knowledge experience. At least 3 years' experience building big data pipelines (ETL, SQL, etc). Salary Market Related
Sprint reviews – Participate in the meeting and capture feedback. • Retrospectives – Note areas for improvement