London, South East, England, United Kingdom Hybrid/Remote Options
Tenth Revolution Group
Position: Analytics Engineer Location: London (hybrid 3 times a week)Department: ITType: 3 months rolling contractOutside IR35 The client is seeking an experienced Analytics Engineer to join its Data & Analytics team. The role focuses on building scalable data pipelines, transforming raw data into clean, reusable datasets, and enabling data-driven decision-making. Key Responsibilities Design and … build data products, with proficiency throughout the data lifecycle. Develop robust data models through close collaboration with business users and the engineering team. Partner with senior management, operational leads, and other stakeholders, coaching and supporting a data-driven culture, including KPI definition and reporting frameworks. Accountable for dataextraction, transforming JSON & XML, utlising high … experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently and to manage multiple dataMore ❯
Richmond, Surrey, England, United Kingdom Hybrid/Remote Options
Robert Half
Are you a driven STEAM GRADUATE with a strong passion for Data and Analytics? Do you have 2+ years of experience working as a Data Analyst? Are you looking for a real challenge? This company has been trading for 20 years!. Do you love data? You will be joining a very well-funded SAAS software company … who has recently received a HUGE CASH INJECTION! So it's now time to grow the Data team. APPLY NOW!!! This is an amazing chance to join a progressive company with a long-term career on offer to move into Data Analysts, Data Engineering and to work for a GLOBAL SAAS Company who works with the S … P 500 companies to make a big impact!. The Data Analyst must have at least 1+ years' experience. This is a great role for a second jobber! Overall, the purpose of this role will be to maintain and ensure the quality of the data, ensuring timeliness of data availability. This is a hand-on and fast More ❯
london, south east england, united kingdom Hybrid/Remote Options
Sine Digital
for the live entertainment industry. With offices in London and New York, we partner with world-class cultural institutions and global brands to drive digital and AI transformation, delivering data-led marketing strategies that maximise ticket sales, elevate brand awareness, and deepen audience engagement. Our clients include many of the most iconic productions in the West End and on … Royal Ballet & Opera (formerly the Royal Opera House), Nederlander Theatres, LW Theatres, LW Tickets, and The Royal Court. ABOUT THE ROLE We are looking for an experienced and strategic Data & Insights Manager to join our Data & Insights team. Reporting into the Senior Data & Insights Director, this role will lead the design and delivery of data-driven … research and intelligence projects, shaping how data is used to inform strategy across creative, media, and client services. We're looking for someone with commercial acumen, and storytelling flair, and who thrives on turning data into actionable direction. The successful candidate will take ownership of end-to-end research proposals, from scoping methodologies to delivering impactful insights and More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Harnham - Data & Analytics Recruitment
Data Analyst Rate: £400-£450 per day (Inside IR35) Location: London (Hybrid - 2 days per week in office) Duration: 3-month initial contract Sector: Leading Online Business Overview We are seeking an experienced General Data Analyst to join a leading online business on a 3-month initial contract. The successful candidate will play a key role in supporting … the Commercial and Pricing Analytics teams, providing analytical insight across experimentation, measurement, and pricing strategy. Key Responsibilities Support the Commercial and Pricing Analytics teams with data analysis and insight generation. Conduct experimentation and measurement analysis , including A/B tests, to inform pricing and commercial strategy. Extract, clean, and analyse large datasets using SQL and Python . Translate analytical … into clear, actionable insights for stakeholders across commercial and product functions. Develop and maintain dashboards and reports to track business performance and key metrics. Collaborate cross-functionally to deliver data-driven recommendations that support business growth. Requirements 3-4 years' experience in data analytics. Strong technical skills in SQL and Python for dataextraction and analysis. More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Executive Facilities
Our client an award winning SaaS organisation is seeking an experienced Data Analyst focusing on building core data capabilities across multiple global regions and markets. You’ll play a pivotal role in improving customer success and driving impact across Customer Experience, Digital Experience and Service Delivery. Central London location, hybrid, 10 month contract. Required Skills : 8+ years of … experience in Data Analytics or Data Science, ideally with exposure to Customer Success, Operations, or Digital Experience domains. Proficiency in SQL for dataextraction, transformation, and pipeline development. Experience with dashboarding and visualization tools (Tableau, Qlik, or similar). Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Method Resourcing
flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: dataextraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for More ❯