Average Data Analyst salary in the UK

Data Analyst - Remote - £50kLocation: Remote / Hybrid options availableSalary: CompetitiveAn established organisation is looking for a Data Analyst to join its data function, supporting the quality, accuracy and ongoing management of important customer and business data.This is a great opportunity for someone early in their data career who enjoys working with data, spotting inconsistencies and taking ownership of data quality. The role combines traditional data analysis with data stewardship, governance and CRM data management, giving you exposure to how data is structured, maintained and used across a large organisation.The RoleYou'll work with data used across multiple business functions, helping ensure information is accurate, complete, secure and fit for purpose.A significant part of the role will involve data ownership and data quality – understanding how information is structured, identifying issues and making sure appropriate standards are maintained.Responsibilities will include:Analysing and maintaining large sets of customer, company and relationship dataIdentifying data quality issues, inconsistencies and duplicationData cleansing, correction and de-duplicationCreating and maintaining relationships and hierarchies between different data setsSupporting the ongoing administration and improvement of CRM and related business systemsCarrying out data imports, exports and bulk updatesProducing reports and dashboards covering data quality, usage, KPIs and trendsIdentifying opportunities to improve data quality and existing processesSupporting wider data governance, ownership and stewardship activitiesMaintaining appropriate documentation and data standardsHelping users understand and follow good data-management practicesSupporting data retention, archiving, cleansing and audit processesRequirementsYou don't necessarily need years of commercial Data Analyst experience. We're particularly interested in people with strong analytical ability, excellent attention to detail and a genuine interest in data quality and data management.You'll ideally have:Strong analytical and problem-solving skillsExcellent attention to detailConfidence working with data in Excel and other data-analysis toolsAn understanding of data quality and why good data governance mattersThe ability to identify patterns, errors and inconsistencies within dataGood communication skills and the confidence to work with people across different areas of a businessThe ability to manage multiple priorities and take ownership of your workAn interest in CRM systems, business intelligence and data analyticsExperience with SQL would be beneficial but isn't essential.Previous experience working within a larger or professional-services environment would also be useful, although we're open to candidates from other sectors.

Our client is a successful tech scale-up, a cash-generative SME currently at c.£12m turnover and c.80 staff, looking to double in size in the next five years under the guidance of its experienced, highly charismatic and driven owner, supported by a first-class senior leadership team including new CEO. We are looking to strengthen the company’s Data & Insight capability, working closely with the organisation’s Operations Director who leads high-performing Customer Service, Project Delivery, IT and HR teams, Datal Analyst.As Data Analyst, based at the company's North East headquarters, you’ll turn customer, sales and operational data into clear, actionable insight. Working closely with Marketing, Operations and Finance, this role is ideal for a detail-oriented Analyst who enjoys translating numbers into recommendations that improve customer experience and business performance. Your key responsibilities will include:Building and maintaining dashboards and self-service reports (e.g. Power BI) for membership, sales and retention metricsAutomating recurring reporting to reduce manual effort and improve accuracyEnsuring reports are accurate, well-documented and easy for non-technical users to interpretAnalysing trends in customer growth, churn, engagement and campaign performanceResponding to ad hoc analysis requests from Marketing, Operations and FinanceIdentifying patterns and flagging risks or opportunities to relevant stakeholdersValidating incoming data feeds from customer, EPOS and marketing systemsInvestigating and resolve data discrepancies in collaboration with the Data EngineerMaintaining clear documentation of report logic and data sourcesWorking with colleague teams to understand information needsPresenting findings clearly to both technical and non-technical audiencesSupporting the Lead Data Analyst in prioritising the analytics workloadAs Data Analyst, you’ll need:Strong, commercial Data Analyst experience gained in a similar role, preferably in a fast-moving, growing health and/or tech consumer product/service businessDegree or equivalent in Data, Tech or numerate disciplineStrong SQL skills and confidence working with large datasets - experience with Python or R for data analysis also beneficialProficient in Excel and at least one BI tool (e.g. Power BI, Tableau) – customer management and EPOS system knowledge advantageousExcellent attention to detail and a methodical approach to analysis, ideally including a basic understanding of statistical conceptsCurious and analytical, with a genuine interest in what the story the data tellsAble to explain technical findings to non-technical stakeholdersHigh integrity, collaborative approach with strong organisational skills and ability to manage multiple requestsCommitted to continuous learning and professional developmentRewards and Benefits:Basic salary between £50,000 and £80,000 (plus benefits)Maximum pay/rewards, dependent on possessing all outlined experience, skills, knowledge and qualificationsFull-time, permanent role, office-based in GatesheadSupport with training and developmentFree parkingOn-site health facilities, staff events and discounts, training/development and morePlease note: we review applications on receipt and aim to respond to shortlisted candidates within 5 working days. You must have permanent eligibility to work in the UK - no visa opportunities available.Data Analyst, Gateshead

Data Analyst - SQL, Data Analysis, Dimensional Modelling, Database Administration, SQL Scripting, Performance Tuning, Azure, ETL, Data Warehousing. Permanent. London Hybrid (3/2). c.£80k-£85k + Bonus + BenefitsGlobal Law Firm seeks an experienced Data Analyst to join its Business Systems team, supporting and developing a business-critical data and reporting platform. You'll work across an Enterprise Data Warehouse, Microsoft Azure and SQL-based data environments, helping the firm analyse, structure, optimise and manage data while ensuring platforms remain reliable, scalable and aligned with evolving business requirements.The role combines Data Analysis and Dimensional Modelling, SQL Engineering / Database Administration, and Stakeholder Liaison – gathering, defining and maturing data requirements across the business. You'll work extensively with SQL, data structures, ETL processes and Azure-based services, with additional exposure to Power BI/Fabric as part of the wider reporting environment.Key Responsibilities:Analyse complex datasets and translate business requirements into structured data solutions.Design and maintain dimensional data models, data warehouse structures and associated data flows.Develop and optimise SQL scripts, stored procedures, functions and database objects.Undertake SQL performance tuning, query optimisation and troubleshooting across business-critical databases.Support database administration activities including configuration, access, monitoring, maintenance and performance.Develop and maintain ETL processes and integrations using Azure Data Factory.Support administration and operation of Azure-based data services and associated environments.Work with stakeholders to gather, define and mature data and reporting requirements.Troubleshoot data quality, integration and performance issues across multiple systems.Support Power BI, semantic models and reporting solutions where required.We're looking for candidates with strong SQL, Data Analysis and Data Engineering experience combined with the ability to work confidently with business stakeholders. You will possess:Expert SQL skills including complex scripting, stored procedures, functions, XML and JSON data types.Strong experience of SQL query optimisation, troubleshooting and performance tuning.Good database administration experience within SQL Server or comparable enterprise database environments.Strong understanding of Dimensional Modelling and Data Warehouse methodologies including Kimball and Inmon.Experience analysing, transforming and validating complex business data.Experience building ETL processes and integrations using Azure Data Factory.Good knowledge of Microsoft Azure and administration of cloud-based data services.Strong stakeholder engagement skills with the ability to gather and translate complex data requirements.Excellent communication and documentation skills with the ability to explain technical concepts to non-technical audiences.Experience with Power BI, DAX, semantic models or Microsoft Fabric would be useful but is not the primary focus of the role.Experience of DevOps, CI/CD and deployment pipelines would be advantageous.Experience within Legal Services, Financial Services, Banking or another highly regulated professional services environment would be desirable.This is an excellent opportunity to join a Business Systems team working across multiple systems and departments where you'll combine hands-on SQL development, Data Analysis, Dimensional Modelling, Database Administration, Azure and ETL engineering to help shape and improve a strategically important enterprise data platform.Experience gained within Law Firms, Legal Services, Legal Application Vendors, Systems Integrators or Consultancies is welcomed but non-essential. We can also consider candidates from Financial Services, Banking, Investment Banking, Exchanges and wider Professional Services environments.