Average Customer Analyst salary in London

Robert Half Technology are assisting a leading independent business telecoms and cloud communications provider to recruit a Business Data Analyst on a contract basis. Remote working with occasional travel to site. ASAP start - 8-month minimum contract.RoleThe Business Data Analyst will gather and translate business and reporting requirements into data governance and technical data requirements within a GCP data environment.Define, document and map KPIs, metrics and critical data elements across reporting and operational processes.Work closely with business stakeholders, including sales teams, to understand customer data requirements and reporting needs.Map reporting requirements back to source systems, data feeds and data warehouse structures within GCP.Support the development of data governance frameworks and help establish sustainable data operating models.Contribute to Master Data Management (MDM) initiatives, including data definitions, ownership and lifecycle management.Define data quality rules and collaborate with the GCP engineering team to implement governance and quality controls using dbt.Support data catalogue, finance process and customer data mapping activities across the wider GCP data platform.Act as the bridge between end users and technical teams, ensuring business requirements are accurately translated into scalable data solutions.ProfileThe Business Data Analyst will have strong experience in Business Analysis within complex GCP data environments.Strong hands-on experience with GCP is essential, ideally including BigQuery and related GCP data services.Proven experience designing, architecting or implementing Data Governance and Master Data Management (MDM) frameworks.Strong reporting and KPI requirements gathering experience, with the ability to map metrics through to underlying data sources.Experience defining data quality rules, critical data elements and data governance processes.Experience working with dbt and data warehouse environments.Strong stakeholder management skills with experience working directly with business users and non-technical teams.Experience within customer analytics, B2B, B2C, retail or sales data environments would be highly desirable.Excellent communication and analytical skills with the ability to translate business requirements into technical data solutions.CompanyLeading independent business telecoms and cloud communications provider.They supply unified communications, mobile and IT services to tens of thousands of corporate and public sector clients across the UK.Remote working with occasional travel to site.Salary & BenefitsASAP start8-month minimum contractRemote working with occasional travel to siteThe salary range/rates of pay is dependent upon your experience, qualifications or training.Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Customer AnalystLondon (Hybrid - 2x Days a Week in Office)£45,000-£50,000The CompanyThis is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers; the business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Customer Analytics, Data Science, Data & AI, Marketing Analytics, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. The Customer Analytics team sits at the heart of this function, helping the wider business better understand its customers and use customer data to inform decisions across the customer lifecycle. The RoleAs a Senior Customer Analyst, you will sit within the Customer Analytics team, working closely with stakeholders across the business to understand customer behaviour, identify trends and turn data into clear commercial recommendations. This is a broad customer analytics role, covering the core areas of customer health, lifecycle, segmentation, profiling and behavioural analysis, with the opportunity to work on more advanced analytical projects. You will be responsible for interpreting complex data and presenting findings in a clear and impactful way, helping stakeholders understand what is happening with customers, why it is happening and what the business should do as a result. You will:Deliver customer reporting and analysis across key customer health and performance metricsConduct deep-dive analysis to understand customer behaviour and identify trends and opportunitiesWork on customer segmentation, profiling and grouping to support better commercial decision-makingTranslate complex analytical findings into clear, actionable insight and recommendationsApply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurementHave an understanding of techniques such as k-means, random forest and linear regression, with the ability to interpret and utilise modelling outputsSupport forecasting and optimisation activity across the wider analytics functionWork closely with stakeholders across customer, marketing, commercial and other business functionsHelp stakeholders make better decisions based on customer data and real-time eventsCommunicate analytical findings effectively to both technical and non-technical audiencesSupport the continued development of the customer analytics capability across the business The role is particularly suited to someone who enjoys taking a commercial question, interrogating the data and turning it into a clear story and recommendation. Your Skills & ExperienceStrong experience working in Customer Analytics / Customer InsightStrong SQL skills and experience working with large datasetsStrong data visualisation and presentation skillsExperience with customer segmentation, profiling and behavioural analysisExperience applying advanced analytical techniques such as regression, clustering and predictive modellingUnderstanding of statistical or data science techniques and the ability to interpret model outputsStrong stakeholder management and communication skillsComfortable translating complex analysis into clear commercial recommendationsA genuine interest in customer behaviour and how this impacts sales, loyalty, retention and long-term customer valueExperience within retail, eCommerce or another consumer-facing environment would be highly beneficialThe successful candidate will be a strong all-round insight person: technically capable, commercially minded and confident communicating their findings to stakeholders. The Benefits£45,000-£50,000How to ApplyIf you're an experienced Customer Analyst with strong SQL, insight and stakeholder management skills, and you're looking for a role where your analysis can directly influence commercial decisions, I'd be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

Our Global SaaS client is now seeking an experienced Data Analyst to join their Global Customer Success Data Science Team for a 10-month contract. You’ll play a pivotal role in improving how they measure and deliver customer success, driving impact across Customer Experience, Digital Experience, Service Delivery, and Supportability. You will partner closely with cross-functional teams, and ensure that data informs strategy, enhances customer journeys, and scales operational excellence.Key ResponsibilitiesBuilding robust data foundations: Collaborate with engineering to develop pipelines, improve data integrity, and establish clear metric definitions and governance tailored for international markets. Developing actionable dashboards & reporting: Create and maintain scalable, user-friendly dashboards that provide visibility into key performance metrics and think broadly across the end-to-end customer journey.Delivering deep-dive analytics: Conduct root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies and translate findings into actionable recommendations that improve customer journeys.Advancing AI-native analytics: Leverage Gen AI tools to automate recurring insight generation, support AI-powered summarization and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation — helping the team move faster and deliver more scalable, proactive insights.Enabling experimentation & continuous improvement: Support A/B testing and digital experience evaluations by analysing performance outcomes and quantifying customer and business impact. Influencing strategy through storytelling: Communicate insights and trends clearly and persuasively to technical and non-technical stakeholders, ensuring alignment on decisions that improve customer experience, digital adoption, operational performance, and supportability.Skills8+ years of experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domainsProficiency in SQL for data extraction, transformation, and pipeline developmentExperience with dashboarding and visualization tools (Tableau, Qlik, or similar)Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processesExperience with Python or R for advanced analytics, automation, or experimentation support preferredKnowledge of statistical methods and experimentation (A/B testing) preferredMachine learning and Generative AI experience is a plusA genuine enthusiasm for Gen AI and a growth mindset toward how emerging tools can accelerate analytical work Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiencesBenefitsAward winning work environmentHybrid workingLong contract with potential to extend