4 of 4 Remote/Hybrid Data Cleansing Jobs in the East Midlands

Quality Framework: Establish, maintain, and enforce comprehensive data quality frameworks, guidelines, and standards across the organisation using automation and AI-driven cleansing, standardisation, and enrichment.Monitoring & Issue Resolution: Continuously build, improve, and proactively report on data quality processes, collaborating across teams to resolve data … experience in data processing or a related field, with proven experience implementing automation and AI for data profiling, cleansing, and standardisation.Tool Proficiency: Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets ...

Data Administrator – Data Cleansing (Temporary/Contract)We are currently seeking a detail-oriented individual to support our team with data cleansing across our Employee Relations (ER) case management system and Workday people system.Key Responsibilities: Reviewing and cleansing data within ER and Workday systemsIdentifying inconsistencies, duplicates, and inaccuraciesEnsuring data is accurate, up to date, and aligned across systemsSupporting general administrative tasks related to data management Role Details: Full-time hours: Monday to Friday, 9:00am – 5:00pmHybrid working ...

Senior Data Engineer 6 Month contract with extension Full-time Inside IR35 Hybrid 1 day every two weeks in the office Nottingham - NG1 4BX Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data … tasks, especially with big data and real-time data using Spark. Capable of performing data cleansing operations to prepare data for analysis, including transforming data into useful formats. Understand data storage ...

role? Work as part of the Business Processes Team to focus and support with activities such as cleaning and analysing large data sets. Also to ensure that data is accurate, error-free, and secure at all times. Key Responsibilities : Source, format and present data securely in a relevant way for analysis using appropriate methods. Communicate outcomes appropriate to the audience; analyse structured and unstructured data to support the business. Blend data from multiple sources as directed and learn and apply legal and ethical principles when ...