3 of 3 Data Analyst Jobs in Liverpool

Data Analyst Trainee

Hiring Organisation
ITOL Recruit
Location
Liverpool, Merseyside, England, United Kingdom
Employment Type
Full-Time
Salary
£30,000 - £50,000 per annum
looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst ...

Data Analyst Placement Programme

Hiring Organisation
ITOL Recruit
Location
Liverpool, Merseyside, United Kingdom
Employment Type
Permanent
Please note this is a training course and fees apply* Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please ...

Data Analyst

Hiring Organisation
Resourcery Group
Location
Liverpool, Merseyside, England, United Kingdom
Employment Type
Temporary
Salary
£13.00 - £16.00 per hour
Data Analyst (Temporary) – Liverpool | Public Sector We’re looking for a detail-driven Data Analyst to support a key public-sector project in Liverpool. If you enjoy transforming complex information into clear, usable insight, this could be a great fit. About the Role Extract, review … organise data from an existing internal database Design and build a searchable, macro-driven Excel database to consolidate information Clean, validate, and structure data for accuracy and consistency Identify patterns, gaps, or errors within datasets Create dashboards, summaries, or reports to support decision-making Work with internal stakeholders ...