1 to 25 of 421 Permanent R Jobs in the UK

minimum: Snowflake, SQL, Azure or AWS, Power BI and Python. The wider technology stack is: Visualisation tools- Power BI Data modelling tools- Python, R, Alteryx and Business Objects Cloud service experience - AWS and\or Azure Databases - SQL Server, Oracle, NoSQL Data Integration tools (Mulesoft, Fivetran, SSIS) Cloud based Big Data

Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting

tools Proficient in using business intelligence tools such as Tableau or Power BI Experience with data modelling and database design Knowledge of Python or R programming for data analysis Strong data visualization skills and ability to create compelling, interactive dashboards Experience working with large datasets and performing complex data analysis

solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment

predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create

predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create

reporting.* Strong attention to detail and problem-solving skills.* Excellent communication skills - able to present findings clearly to non-technicalstakeholders.* Knowledge of Python or R for data analysis is desirable but not essential.* Experience within the travel, tourism, or hospitality sector is an advantage.* Revenue and Yield Management experience beneficial

Strong attention to detail and problem-solving skills. Excellent communication skills - able to present findings clearly to non-technical stakeholders. Knowledge of Python or R for data analysis is desirable but not essential. Experience within the travel, tourism, or hospitality sector is an advantage. Revenue and Yield Management experience beneficial

with energy and presence Highly Desirable: Subscription business or repeat purchase experience E-commerce or direct-to-consumer analytics Marketing analytics background Python or R for data analysis TECH STACK SQL (essential) | Power BI (migrating from Tableau) | Azure/Microsoft Fabric | Python (nice to have) | Social listening tools WHAT

cross-functional team environment. Attention to detail and commitment to data quality. Familiarity with CRM platforms and customer data management. Knowledge of Python or R for data analysis is a plus. Understanding of GDPR and data privacy considerations in marketing analytics. Interview Process This will be a two stage process

Proven background in using insight to tell a story, data analysis and presenting insights, working at a senior level Experience with Python or R Familiarity with data visualisation tools (Power BI, Tableau, Looker) Experience with cloud data platforms (e.g., Snowflake) Knowledge of financial services or commercial analytics is desirable What

Analyse user behaviour, product usage, and feedback to generate actionable insights for AI-enabled digital services. Use tools such as Power BI, Python, or R to visualise data and support decision-making across product lifecycles User Research: Conduct qualitative and quantitative research to understand user needs, behaviours and pain points

working ? Close collaboration with senior stakeholders ? Hybrid working - 2 days a week onsite in Bristol Technical experience we're looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability

working? Close collaboration with senior stakeholders? Hybrid working – 2 days a week onsite in Bristol Technical experience we’re looking for: SQL Server, Python, R, Power BI Advanced analytics, predictive modelling & machine learning Data visualisation and clear insight storytelling Experience with Azure and awareness of emerging technologies, including AI Ability

intelligence roles. Extensive ETL and data pipeline design experience, technology agnostic. Proficiency in SQL and experience with data engineering coding languages such as Python, R, or Spark. Understanding of data warehouse and data lake principles. Experience with data visualisation tools such as PowerBI or Tableau. Leadership or mentoring experience within

Essential Skills: 8+ years' experience in Java development (commercial) Strong expertise in Spring/Spring Boot Solid experience with Hibernate Desirable Skills: Python or R - exposure to data or ML integration SQL - for data management and optimisation JavaScript - for front-end collaboration Grails - nice to have, not essential Environment & Tools

desirable. Proven experience in pricing, commercial, or financial analytics roles, ideally across FMCG, e-commerce, or related sectors. Advanced technical expertise in Python, R, SQL for data analysis and automation. Strong modelling capabilities including A/B testing, elasticity modelling, segmentation, clustering, sensitivity/scenario analysis, and conjoint analysis. Proficiency

e.g., Azure SQL, Azure Synapse, Azure Databrick Understanding of data warehousing concepts and data architecture. Familiarity with any programming or scripting language (e.g., Python, R, JavaScript). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies Join

looking for: Experience in data analysis, performance measurement, or related roles in digital services. Strong skills with tools like Excel, SQL, Python, R, Power BI, Tableau, or Google Analytics. Ability to turn complex data into actionable insights for technical and non-technical audiences. Understanding of user-centred design, Agile delivery

strong academic record. Demonstrated interest in data analysis through coursework, projects, or internships. Proficiency in at least one of the following: SQL, Python, R, or similar data analysis tools. Excellent problem-solving skills and attention to detail. Strong communication skills, with the ability to translate complex data into understandable insights.

data analysis, with a keen interest in developing further expertise in the finance sector. Proficiency in Excel is required; familiarity with SQL, Python, or R for data analysis is highly desirable. Basic understanding of financial principles and metrics. Excellent problem-solving skills and attention to detail. Strong communication skills, with

such as Looker, Tableau, or ThoughtSpot. Practical experience with A/B and MVT testing, from setup through to interpretation of results. Familiarity with R or Python for advanced analytics, modelling, or automation (desirable, not essential). Strong commercial awareness, problem-solving mindset, and critical thinking skills. Excellent communication skills

CARE: C ompassionate care that is trauma informed and supportive A ssurance that care is evidence-based & demonstrates high quality outcomes for our patients R espectful of peoples cultural and religious beliefs E mpowermentWe centre each resident by co-creating holistic care plans that treat their needs and equip them

field. Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling.

tagging teams. Leading and developing a team of digital analysts, providing coaching, direction, and technical guidance. TECHNICAL ENVIRONMENT Tools: SQL, GA4, BigQuery Languages: Python, R Focus Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical