2 of 2 Data Analytics Jobs in Northampton

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 do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year … with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts More ❯

Data Analyst Permanent | Hybrid 4 days on-site – Northampton, Northamptonshire Up to £45,000 per annum Our client, a well-established business based in Northampton, is seeking a skilled Data Analyst to join their team on a permanent basis. This is an exciting opportunity for a data-driven individual to play a key role in delivering actionable … insights, supporting strategic decision-making, and contributing to the ongoing growth and success of the organisation. Key Responsibilities: Data Analytics & Insights Write SQL queries to extract and analyse data. Create reports and dashboards using analytics tools. Present insights to senior stakeholders to guide decisions. Track performance and trends across departments. Data Management Maintain clean, accurate data in the CRM and internal systems. Manage third-party data and enrichment processes. Ensure data governance and integrity. Data Strategy Shape and refine data strategy to support growth. Improve data architecture, reporting, and integrations. Recommend tools and processes to scale data use. Enable data-driven targeting, efficiency, and sales. Due to the More ❯