• Design and analyse experiments and success metrics to identify causal links between data quality measures and business outcomes.
• Establish & maintain Data Quality Scorecards to proactively monitor and report on data quality to relevant stakeholders;
• In charge of converting raw data into usable information for analytics and business decision-making.
• Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
• Analyzes data-related system integration challenges and proposes appropriate solutions.
• Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.
• Track and resolve risks, issues, and action items throughout the project lifecycle.
• Ability to optimise the code to ensure processes perform optimally.
• Provide data-driven guidance and recommendations on strategic questions or improvements around data quality.
• Undertake data profiling and source system analysis and present clear insights to colleagues to support the end-use of the data.
• Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into the central databases.
Qualifications
BS/MS in Computer / Data Science, Mathematics, Applied Science, Statistics, AI, or other quantitative Science / Engineering field.
Competency Required