1 to 25 of 42 Analytics Jobs in Buckinghamshire

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Experience with relational databases and optimization. Specifically, strong knowledge with SQL Server and Oracle. Experience with continuous delivery and automated testing preferred. Knowledge of analytics and technology product integration. Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies. Experience creating More ❯

with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines on AWS. Experience working on AWS MAP-funded modernisation projects. Benefits Overview 25 Days Paid Time-off Birthday Leave Company Bonus Scheme Flexible Working More ❯

decision-making, problem-solving, and research skills. GCSE level language, maths, reading, writing, and reasoning skills. TSI provides trusted measurement, application guidance, and data analytics solutions that enable our global customers to make informed decisions. We are creating a better world by helping protect people, products, and the environment, as More ❯

in Microsoft, Cisco, or similar, and experience with Business Information Software and IT security. Experience in engineering/deploying Business Intelligence applications (MES, Historian, Analytics, OEE). Experience deploying Cloud and Edge platforms. Experience in customer-facing engineering sales or solution selling. Knowledge of industrial engineering, safety, and security standards. More ❯

Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

hold a level 4 qualification or above in a related subject, e.g. a degree or masters degree in subjects including Maths, Data Analysis, Business Analytics etc. Government funded learning programmes: You must not be on another government funded learning programme. What's in it for you? You'll be working More ❯

in the energy market. We build platforms that provide pricing, billing, and supply management for large B2B Electricity suppliers, with business process automation, data analytics, and flexible integration architecture. Our energy and carbon management platform delivers great energy management tools with a mission to support customers to reduce energy consumption More ❯

research and analysis tools such as Dovetail, Mural, and Microsoft Forms. Knowledge of front-end technologies (HTML, CSS, JavaScript) and analytical tools like Google Analytics (both desirable). Comfortable working within Agile frameworks and collaborating across multidisciplinary teams. Experience working with Government Digital Service (GDS) standards and practices (desirable). More ❯

UI, and Customer Success teams to translate business needs into technical requirements and ensure smooth product delivery. Data-Driven Decision Making: Skilled in using analytics, A/B testing, and user research to make informed product decisions and track performance improvements. Product Delivery & Execution: Experience leading sprint planning, backlog grooming More ❯

commercial metrics, including POAS, ROAS, CAC, and contribution margin. High attention to detail and confidence managing multiple accounts simultaneously. Proficient in Google Ads , Google Analytics (GA4) , and reporting tools such as Looker Studio or Google Sheets . Comfortable working independently in a remote-first, performance-driven environment. Desirable Skills - Not More ❯

commercial metrics, including POAS, ROAS, CAC, and contribution margin. High attention to detail and confidence managing multiple accounts simultaneously. Proficient in Google Ads , Google Analytics (GA4) , and reporting tools such as Looker Studio or Google Sheets . Comfortable working independently in a remote-first, performance-driven environment. Desirable Skills - Not More ❯

chance to take full ownership of how data is used, built, and turned into real commercial value across the business. From data warehousing and analytics to AI and automation, this role gives you the space to build the systems and team that turn raw data into results. You’ll join … with strategic vision (40%) Lead and grow a multi-disciplinary team including BI analysts, data scientists, and AI developers Shape data infrastructure and analytics capabilities from warehousing to visualisation (Power BI, Tableau, etc.) Develop and deploy ML and AI solutions across key business areas (including Generative AI and Computer Vision More ❯

organisation where data is central to every decision. Reporting to the CTO, you’ll lead a growing in-house team of 7 across engineering, analytics and data science. You will shape the future data platform and work closely with teams across the business to deliver meaningful insight and drive the More ❯

and performance Private medical insurance Competitive annual leave with the option to buy/sell Equity scheme As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and More ❯

and performance Private medical insurance Competitive annual leave with the option to buy/sell Equity scheme As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and More ❯

full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: High Wycombe, Buckinghamshire, United Kingdom Job Description: Senior Scientist … on AI/ML for Drug Design - Data Sciences Analytics & Insights, Data Sciences, Johnson & Johnson Innovative Medicine Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist - AI/ML to help advance AI/ML for Drug Design. The primary location for this position is UK/Europe. At … most promising science. We are Johnson & Johnson Innovative Medicine. We collaborate with the world for the health of everyone in it. The Data Science Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and More ❯

detailed, data-driven reports to inform decision-making and performance improvements. Ensure actionable insights are communicated effectively across the business. Collaborate with teams across analytics, finance, commercial, and technology to align operational strategies with business goals. Validation of data integrity (Call classification and outcome monitoring) Use data visualisation tools to … key systems used within the department Work to continuously improve our contact strategy maximising all touch points of the customer journey Liase with the analytics team to ensure data integrity To succeed in this role, you should bring: Proven experience in operations strategy, process optimisation, or business operations within a More ❯

on the team We're looking for a UK-based Proactive Engineer to prevent and remediate end user experience issues through the End User Analytics Tools and other intelligence sources. Implementing tactical improvements through proactive incidents and problems as well as providing advice to the Digital Experience Manager (DEM) and More ❯

to the nature of the clients' work, you are required to hold an eDV level security clearance As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and More ❯

to the nature of the clients' work, you are required to hold an eDV level security clearance As an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and More ❯

organisation where data is central to every decision. Reporting to the CTO, you’ll lead a growing in-house team of 7 across engineering, analytics and data science. You will shape the future data platform and work closely with teams across the business to deliver meaningful insight and drive the … Being able to roll your sleeves up will be useful as the business continues to scale and bring in more sources of data. Oversee analytics and BI delivery across Power BI, stakeholder engagement, and actionable reporting frameworks. Support AI and ML initiatives, offering guidance on the adoption of advanced analytics More ❯