2 of 2 Data Cleansing Jobs in Edinburgh

The Role The Company is seeking a skilled and detail-oriented Business Analyst to join our Data Management team. This role plays a key part in delivering high-impact data solutions to our clients, supporting business intelligence, data migration and reporting initiatives across core insurance domains. The ideal candidate will have … a strong analytical mindset, a solid understanding of insurance operations, and hands-on experience working with data throughout its lifecycle — from analysis and mapping through to validation and user acceptance testing. You will work closely with cross-functional teams including project managers, actuaries, data engineers, and business stakeholders to ensure that data … validate data requirements. Define, document, and maintain comprehensive data mapping specifications, including source-to-target field mappings, transformation rules, data cleansing logic, and validation criteria. Perform detailed data analysis to identify data structures, relationships, quality issues, and anomalies across various source systems. Translate business More ❯

Data Management Associate Manager Location: Edinburgh Salary : Competitive salary package depending on experience Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply … communities in which we work and live. It is personal to all of us.” –? Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Associate Manager to join our Data & AI Practice. We deliver scalable, business critical solutions for our clients in the Data Management … to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality automation and anomaly detection. More ❯