2 of 2 Data Cleansing Jobs in Midlothian

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data More ❯

weeks with possible extension Rate of Pay: £20.83 per hour Hours: Monday to Friday – 36 hours per week Start Date: ImmediateWant to make a Real Impact with Data and Insight? Are you passionate about turning complex data into actionable insights that improve public services? Do you enjoy designing dashboards, solving data … supporting business improvement initiatives? We’re looking for a Power BI & Performance Improvement Lead to join our Operational Services team and help shape the future of performance and data-driven decision-making. What We’re Looking ForWe’re seeking someone with a strong analytical mindset and excellent communication skills — someone who can turn complex data … insights that drive action. Essential experience includes:- Proven expertise in Power BI, including dashboards, DAX, and data modelling.- Strong knowledge of data profiling, cleansing, and validation techniques.- Familiarity with data governance frameworks and best practices.- Experience integrating multiple data sources into cohesive reporting tools.- Ability to identify More ❯