Data Analyst

Description:

The purpose of this role is to be involved in the establishment of a modern data architecture that will encompass preparing data through the creation of automated data pipelines, that ultimately provide the business with self-service data solutions such as dashboards and reports. Analysis of large datasets will be required to discover actionable insights and process improvements that will be used to enhance our clients services to customers. The role requires working in an agile environment and participation in DevOps / MLOps automation driven culture. The role will require working with business stakeholders to ensure their operational data needs are being met as well as with the software development teams to leverage data insights in our client facing systems .The role will include the responsibility of meeting stakeholders needs for regular reporting – updating, running and automating of reports. Key Areas of Responsibility: Data Management ML, cloud advantageous developing, testing, and maintaining data architecturesAutomating repetitive tasks and manual processes related with the data usageOptimizing data deliveryDesigning, developing, and testing large stream data pipelines to ingest, aggregate, clean, and distribute data models ready for analysisEnsuring the highest standard in data integrityLeveraging best practices in continuous integration and deliveryCollaborating with other engineers, ML experts, analysts, and stakeholders to produce the most efficient and valuable solutionsBuilding scalable and secure data mart and pipelines, often performing complex calculations with massive volumes of data from various sources to summarise various entity dynamics; andImplementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and securityOperations and ownership of systems in production, responding to incidents Operational EffectivenessThe capacity to interact with many different personality types and the ability to maintain fair and impartial judgment. People management involves an understanding of employment law, of training, motivating employees and giving constructive feedback to help with business development and personal and professional growth of the teamWork with internal stakeholders to assist with data-related technical issues and support their data infrastructure needs.Implement data tools for analytics team members that assist in building and optimizing our productsDevelop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.Establish appropriate data monitoring processes to ensure availability and service levels are maintainedImplement data tools for analytics team members that assist in building and optimizing our productsDevelop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.Establish appropriate data monitoring processes to ensur