secure, efficient, and timely handling of vast volumes of attendance data from all schools. This will include the development, ownership, and delivery of attendance tracking reports and multi-cohort analytics to inform tactical operations, strategic decision-making, and performance scrutiny. Main duties of the job As an Insight Analyst, you will be expected to lead on internal and external stakeholder … years experience minimum). Knowledge of SQL queries; TSQL or PL/SQL. Knowledge of Python, R, SSIS automation. Knowledge of how relational databases are structured, data types, analytics life cycle, object creation & maintenance. Experience working in a Big Data environment, dealing with large diverse data sets. Knowledge of ARC GIS and mapping data sets. Predictive analytics - experience of demand … understanding. Qualifications Essential Educated to degree level, professional qualification or equivalent in a related discipline or equivalent relevant experience in information management and analysis. Completion of level 4 data analytics or equivalent. Desirable Familiarity with DAX, R, Python or equivalent. Experience of Data Science, Machine Learning and/or Statistical concepts. Experience with ArcGIS Pro. Employer details Employer name Wiltshire More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Robert Half
60k-70k + Bonus & Benefits Our client, a forward-thinking and globally connected staffing & consulting organization is seeking a skilled and driven Data Engineer to join their growing Data & Analytics team. Based in the City of London, this role presents a fantastic opportunity for someone with 2-3 years of data engineering experience who is passionate about building robust data … manner Required Skills & Experience: 5 years of experience in a data engineering or similar technical role Hands-on experience with key Microsoft Azure services: Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Database Solid understanding of data modeling, ETL/ELT, and warehousing concepts Proficiency in SQL and one or more programming languages (e.g., Python, Scala More ❯
South West London, London, England, United Kingdom Hybrid / WFH Options
Bennett & Game Recruitment
We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently. This client-facing role blends data analyst … AWS (Sagemaker Unified Studio preferred) is highly desirable. Offering a competitive salary, performance-based bonuses, and fully flexible remote working, this is a fantastic opportunity to shape and lead analytics projects from onboarding through delivery in a collaborative, fast-growing environment. Analytical Data Engineer Job Overview Cleanse and transform data sets to create one-to-many star schema models from More ❯
Westminster, London, City of Westminster, United Kingdom Hybrid / WFH Options
Bennett and Game Recruitment LTD
We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user-friendly data models and dashboards that empower clients to explore their data independently. This client-facing role blends data analyst … AWS (Sagemaker Unified Studio preferred) is highly desirable. Offering a competitive salary, performance-based bonuses, and fully flexible remote working, this is a fantastic opportunity to shape and lead analytics projects from onboarding through delivery in a collaborative, fast-growing environment. Analytical Data Engineer Job Overview Cleanse and transform data sets to create one-to-many star schema models from More ❯
currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management and liquidity planning. This role is based in London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills. You Will: Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and … improve liquidity planning. Build predictive cash flow models and scenario simulations to inform funding strategies. Enhance our analytics platform with automation, feature store design, and CI/CD best practices. Own model governance: validation, A/B testing, drift detection, and documentation that meets audit requirements. Translate business questions into well scoped technical tasks and clearly communicate results to stakeholders More ❯
data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while … but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling. Experience More ❯
on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques Collaborate … on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What More ❯
on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques Collaborate … on Design of our data architecture and interpret into a build plan Lead the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs Deliver large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best practice tools and techniques What More ❯
Business Intelligence Power BI Developer – Contractor Transform Data Analytics | Immediate Start | Up to £420/day Outside IR35 | 3 days a week on-site London Are you an experienced Power BI developer ready to drive digital transformation? A prestigious global law firm is seeking a skilled contractor to modernise their business intelligence landscape and accelerate Power BI adoption across their More ❯
Chadderton, Oldham, Lancashire, England, United Kingdom
Pure Resourcing Solutions
take ownership of a growing Data & BI function? This is a fantastic opportunity for a hands-on leader to shape and evolve a modern Microsoft data platform, deliver insightful analytics, and mentor a small team while remaining close to the technology.We’re looking for someone who thrives at the intersection of strategy and delivery: an architect who enjoys rolling up More ❯
problems with data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights More ❯
take ownership of a growing Data & BI function? This is a fantastic opportunity for a hands-on leader to shape and evolve a modern Microsoft data platform, deliver insightful analytics, and mentor a small team while remaining close to the technology in a product manufacturing business on the outskirts of Norwich. We’re looking for someone who thrives at the More ❯
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 More ❯
days a week onsite * Pay £50k-£60k depending on experience Our client is a fast-growing financial services organisation seeking a Lead Data Scientist to join their data and analytics team. This is a hands-on role focused on developing predictive models, deploying autonomous decisioning frameworks, and driving innovation across the customer lifecycle. The successful candidate will work closely with More ❯
the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯
the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯
desire to learn and grow Desirable Degree in Computer Science, Engineering or related field Experience with JIRA, Confluence and modern delivery practices (CI/CD, DevOps) Exposure to data analytics tools (Python, R) and APIs Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity More ❯
looking for candidates who have: A bachelor's degree or higher in computer science, data science, statistics, mathematics, economics, or a related field Solid experience in a data science, analytics, or consulting role, preferably in the cryptocurrency, financial services, or cybersecurity domains Proficiency in Python, Spark, SQL, and other data analysis and visualization tools and frameworks, such as Tableau, Power More ❯
a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced More ❯
Bedford, Bedfordshire, England, United Kingdom Hybrid / WFH Options
Reed Talent Solutions
focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and Azure Data Factory. Understanding of data extraction from vendor REST APIs. Spark/Pyspark or Python skills a bonus or More ❯
design, and oversee development of scalable, reliable, and secure cloud-based solutions• Guide the team in data engineering best practices - building, maintaining, and optimizing data pipelines, storage solutions, and analytics platforms • Collaborate with product managers, architects, and stakeholders to align technology strategy with business objectives • Ensure software and data solutions follow best practices in security, compliance, performance, and cost optimization More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
Akrivia Health
software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira, confluence, project management More ❯
banbury, south east england, united kingdom Hybrid / WFH Options
Akrivia Health
software development lifecycles, cloud technologies and modern engineering practices. ● Experience with the following technologies: o Cloud Provider: AWS o Languages: Python, PHP, Rust & SQL o Hosting: Kubernetes o Tooling & Analytics: Airflow, RabbitMQ, Apache Spark, PowerBI ● Proven ability to complete projects according to outlined scope, budget, and timeline ● Experience with industry standard tools such as Microsoft products, Jira, confluence, project management More ❯
own and operate their data. Develop and maintain the centralized data cloud infrastructure using Snowflake, DBT, and Microsoft Azure, and automate data pipeline workflows, providing easy integration with data analytics and BI platforms like Power BI. Work with the Data Governance teams to help enforce data governance policies, including data quality, lineage, and access control, ensuring compliance across all Data More ❯
requirements gathering and design to implementation and testing. Stay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation within insurance operations. Mentor and develop junior team members, fostering a culture of learning and high performance while providing guidance on career progression. Contribute to More ❯