1 to 25 of 220 Permanent Analytics Jobs in Slough

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

areas of the business. 🚀 The Opportunity Reporting to the Director of Technology & Innovation, the "Lead Data Engineer" will play a pivotal role in shaping the firm’s data and analytics landscape. The successful candidate will lead a high-performing team responsible for designing, building, and optimising scalable, cloud-based data platforms that drive business intelligence, AI innovation, and data-informed More ❯

Weekly - Slough, Berkshire. Permanent. T6/MN/1282840. Must be Eligible to Work in the UK. An FMCG leader is seeking to secure an IT Business Partner - Data & Analytics - to partner with business teams to drive digital enablement through better use of Systems, Data & Analytics, AI (Copilot) tools. Will consider an experienced IT Business Analyst looking to transition to … an IT Business Partner role. Role: IT Business Partner - bridge the gap between IT/Technology & Business Functions - focus on core functions - Sales, Marketing & Finance. Drive Digital Enablement - Data & Analytics, AI (Copilot) tools - Drive adoption & enhancement. Power BI - drive & support adoption - across Sales, Marketing & Finance. AI - Align to the Global AI Roadmap - Copilot - AI platform - drive adoption. Partner with Global … IT Team - support with the local rollout of - Data & Analytics, AI (Copilot) Enterprise Projects. Automation - Identify & deliver Automation opportunities. Translate business needs & requirements into - Data & Analytics, AI initiatives. Business Case development/definition & KPI definition. Track Value KPIs - application adoption, uptake, benefits, efficiency etc. Support the rationalisation & simplification of the local Portfolio for - Data & Analytics, AI. Enable User Adoption - utilise More ❯

engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data pipelines that support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key More ❯

implement solutions that drive efficiency and innovation. Lead migration and upgrade projects for legacy systems, ensuring minimal disruption and maximizing system adoption across teams. Leverage AI/ML and analytics capabilities to enhance reporting, forecasting, and decision-making within these platforms. Lead end-to-end digital transformation initiatives, modernizing legacy systems and migrating critical business applications to cloud platforms. Ensure More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build … advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve, and maintain … customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise More ❯

Technical Business Analyst – Insurance Pricing Systems Location: London (Hybrid - 2 days on-site) Salary: £75,000 – £120,000 + full package Department: Product & Analytics Reports to: Product/Business Systems Lead We’re partnering with an award-winning InsurTech transforming how insurers, reinsurers and MGAs build and deploy pricing models. Their no-code platform converts Excel, Python and R models More ❯

numerate individuals Excellent written and verbal communications skills A flexible approach to changing priorities, i.e. happy to work in an agency environment A passion and curiosity for data and analytics You are driven to make a difference for stakeholders More ❯

Qualifications: At least: 2-3 years in sales operations, business analysis, or a related role, preferably in a tech or SaaS environment. Education: Bachelor’s degree in Business, Data Analytics, Finance, or a related field is preferred. Analytical Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM More ❯

learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models and workflows What’s in More ❯

months - likely to extend About the Role We’re partnering with a financial client that’s undertaking a large-scale data transformation, modernising legacy systems and building a unified analytics platform in the cloud. As part of this initiative, you’ll play a key role in developing and optimising a Snowflake-based data warehouse and delivering high-quality visualisations and More ❯

data visualisation tools such as Tableau, Grafana, or Power BI Ability to thrive in an environment that moves quickly and values execution Nice to have: Background in cybersecurity, data analytics, or enterprise SaaS Experience implementing automation or AI tools in business workflows Certifications such as PMP or Scrum Master More ❯

scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. More ❯

Design and analyse A/B tests to validate new product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator More ❯

and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI More ❯

high-quality, analysis-ready datasets. Play a visible role in enhancing the firm’s broader data strategy and engineering culture. Candidate Profile 1–5 years’ experience in data engineering, analytics, or automation, ideally within financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . More ❯

the internal AI and data infrastructure that supports smarter decision-making across the organisation. You’ll build and scale AI-powered backend systems that connect enterprise data platforms (CRM, analytics, and communication tools) with large language models — creating intelligent tools and insights that enhance the way teams operate. This is a role with real influence: you’ll own the internal More ❯

flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training opportunities 🛠 Modern Tech Stack : Work with the latest tools in data science, AI, and analytics 🤝 Collaborative Culture : Be part of a supportive and innovative team ✨ Additional Perks : Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with your most up-to-date More ❯

cloud and on-premises platforms. You will play a key role in ensuring that all data systems comply with industry regulations and security standards while enabling efficient access for analytics and operational teams. A strong command of Apache NiFi is essential for this role. You will be expected to design, implement, and maintain data flows using NiFi, ensuring accurate, efficient More ❯

practices are fair, competitive, and aligned with our values. Qualifications Your Experience Required Qualifications 5+ years of direct experience in compensation, with a strong background in broad-based compensation, analytics, and program management. Expert-level proficiency in Google Sheets and/or Microsoft Excel, including building complex models, handling large datasets, and advanced formulas Proven analytical and modeling skills with More ❯

Analytics Manager 📍 London (Hybrid - 2 days in office, Tuesdays required) 💰 Up to £90,000 base salary An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence … institutions use housing market data to drive smarter lending decisions. Key Responsibilities Team Leadership : Mentor and support 2-3 analysts; oversee workload and ensure high-quality output Client-Facing Analytics : Present insights directly to clients, translating complex data into strategic value Cross-Functional Collaboration : Work with product, commercial, and presales teams to develop tailored solutions Strategic Thinking : Stay ahead of … market trends and customer challenges to guide analytics direction Project Delivery : Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines Innovation Support : Help evolve the product set through insight-led thinking across financial services use cases What We're Looking For 5-7 years' experience in analytics, ideally within financial services, credit risk, mortgages, or More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

send a CV ASAP! Next step would be a short telephone call with John Reilly, the recruiter. Please indicate when you’d be available for that. Excel | Pivot Tables | Analytics | Power BI More ❯

next generation of data-driven digital experiences for one of Europe’s most technically advanced SaaS innovators? Our client, a pioneer in B2B SaaS solutions , is building “Your Shipping Analytics Supercomputer” , providing cutting-edge data visualisation and dynamic dashboards for high-velocity business & artificial intelligence. About the Role As a Senior Full-stack Engineer , you’ll play a key role More ❯

and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction, and identity verification success More ❯