2 of 2 Data Analyst Jobs in Cheadle

The Data Analyst will play a key role, working with the business teams to plan and deliver these new reporting capabilities. This will include gathering requirements, working with the teams to understand and access the date, building, testing and improving reports. Additionally, the Data Analyst will support other colleagues. Role Support the IT Manager in planning … and execution of the new data/reporting strategy and improvement initiatives. Responsible for the delivery of new reports and dashboards across the Credit Union. Develop and implement databases, data collection systems and data engineering solutions that optimise reporting efficiency and clarity. Acquire data from primary or secondary data sources and maintain databases/data lakes. Interpret data, analyse results using statistical techniques and provide ongoing reports. Identify, analyse, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing raw data, reports, and performance indicators to locate and correct code problems. Work with management to prioritise business and information needs. Locate and define new process More ❯

below and never miss the latest updates or an exclusive offer. Name Email Telephone Address Cover Note Upload CV What do you want to search? Keyword Apprenticeship Type Location Data Analyst Apprentice Apply From: 29/06/2025 Learning Provider Delivered by NOWSKILLS LIMITED Employer NO.1 COPPERPOT CREDIT UNION Vacancy Description Support the IT Manager in planning … and execution of the new data/reporting strategy and improvement initiatives. Responsible for the delivery of new reports and dashboards across the Credit Union. Develop and implement databases, data collection systems, and data engineering solutions that optimise reporting efficiency and clarity. Acquire data from primary or secondary data sources and maintain databases/data lakes. Interpret data, analyse results using statistical techniques, and provide ongoing reports. Identify, analyse, and interpret trends or patterns in complex data sets. Filter and "clean" data by reviewing raw data, reports, and performance indicators to locate and correct code problems. Work with management to prioritise business and information needs. Locate and define new process More ❯