101 to 125 of 1,809 Analytics Jobs in England

problem solver who delivers results through collaboration and technical excellence. Data Architecture Specialist: Design and develop robust data models, ETL/ELT processes, and data marts that support complex analytics and operational use cases. Pipeline Optimization: Maintain and optimize data pipelines and warehouse environments to ensure top-tier performance, reliability, and scalability. Cross-Functional Collaboration: Effectively collaborate with cross-functional More ❯

and a willingness to continuously learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready More ❯

and a willingness to continuously learn. Nice-to-Have Skills Database Knowledge: Experience with SQL Server or Oracle. Financial Domain: Working knowledge of the investment banking and finance sector. Analytics: Familiarity with Data Science , Machine Learning , and Statistics . Reporting Tools: Knowledge of Power BI . Project Management: The ability to work on multiple projects simultaneously. If you're ready More ❯

company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate data More ❯

address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management : Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯

Property & Facilities Management What You’ll Be Doing: Building and maintaining scalable data pipelines using Microsoft Fabric, Data Factory, OneLake, Dataflows, and Notebooks. Creating robust data models to support analytics and reporting functions. Integrating and transforming data from cloud and on-premise sources using metadata-driven processes. Developing secure, governed multi-tenant data environments with row- and tenant-level access More ❯

to enable profiling, monitoring, and remediation workflows.Partner with the Data Governance Lead to embed ownership, stewardship, and accountability for data quality across the organisation.Work closely with Data Technology and Analytics Enablement teams to integrate quality checks within ingestion, transformation, and reporting pipelines.Identify and prioritise Critical Data Elements (CDEs) and establish ongoing measurement and improvement processes.Develop data quality dashboards and reports More ❯

profiling, monitoring, and remediation workflows. Partner with the Data Governance Lead to embed ownership, stewardship, and accountability for data quality across the organisation. Work closely with Data Technology and Analytics Enablement teams to integrate quality checks within ingestion, transformation, and reporting pipelines. Identify and prioritise Critical Data Elements (CDEs) and establish ongoing measurement and improvement processes. Develop data quality dashboards More ❯

and database management. Experience with the broader Microsoft Business Intelligence stack-such as Power BI, SSIS, SSRS, and Azure Data Factory-is highly desirable, as is exposure to advanced analytics, including predictive and prescriptive modelling. Strong communication, collaboration, and relationship management skills are essential. You will be expected to engage effectively with diverse technical and non-technical stakeholders, manage multiple More ❯

and database management. Experience with the broader Microsoft Business Intelligence stack-such as Power BI, SSIS, SSRS, and Azure Data Factory-is highly desirable, as is exposure to advanced analytics, including predictive and prescriptive modelling. Strong communication, collaboration, and relationship management skills are essential. You will be expected to engage effectively with diverse technical and non-technical stakeholders, manage multiple More ❯

designs for Industry 4.0 solutions, including system blueprints, data flows, and integration diagrams. Architect solutions that leverage IIoT (Industrial Internet of Things), digital twins, predictive maintenance, and real-time analytics to optimize manufacturing and operational processes. Ensure all designs comply with enterprise architecture standards and cybersecurity requirements, safeguarding data and system integrity. Technology Evaluation and Selection: Continuously research emerging technologies More ❯

COSTAR GROUP - SENIOR DATA ENGINEER ONTHEMARKET TECHNOLOGY - LONDON OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the worlds real estate, empowering all people to discover properties, insights and More ❯

with the latest Azure technologies and industry best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU As much as we just More ❯

AI & Innovation, and Collaboration & Leadership: Collaborating with Tetra Techs digital solutions teams across the globe. Leverage and fine-tune foundation models and AI/ML techniques to advance geospatial analytics, automation, and digital transformation within the Geospatial and wider Asset Management Business Unit. Mentor colleagues in best practices and support them in identifying opportunities to apply technology for automation and 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 Responsibilitie sLead data analysis initiative s across the subscriber lifecycle, from acquisition to retention and lifetime value .Define and maintain report s to track KPIs, providing actionable insights to stakeholders across the business .Develop, improve … and maintain customer segmentation model s to provide deep insights into the subscription base and inform Product/Marketing strategies .Utilise predictive analytics and retention modellin g to forecast churn risk and customer behaviour, leveraging data science techniques .Collaborate with cross-functional team s, including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives More ❯

and Excel. * Collaborate with stakeholders to understand reporting needs and deliver scalable solutions. * Ensure data accuracy and compliance with governance standards (e.g., GDPR). * Provide BAU and ad hoc analytics for initiatives, audits, and surveys. * Act as a subject matter expert on people data and proactively resolve data quality issues. Skills & Experience: * Minimum 1 year in L&D/people More ❯

and the ability to communicate insights to non technical teams* Python is desirable but not essential THE BENEFITS * Salary up to £40,000* Great opportunity to shape reporting and analytics in a growing team* Exposure to senior decision makers If you are curious, commercially minded and excited by the chance to build meaningful insight, this is a great opportunity. More ❯

possible We are looking for an experienced AWS/Athena Data Analyst to support a high-profile government project. The role involves designing, developing, and optimising data queries and analytics solutions using AWS services, with a strong focus on Athena and S3-based data lakes. Key responsibilities: Develop and maintain SQL queries in AWS Athena for large-scale datasets Optimise More ❯

are known for their consultative approach, working closely with clients to design tailored solutions that improve efficiency, enable self-sufficiency and accelerate growth. With a strong focus on scalable analytics and advanced business intelligence, they are modernising data platforms to deliver future-ready solutions. This is a hands-on role where you will work across the full data stack, collaborating More ❯

fostering creativity and continuous improvement. Drive Innovation: Define and execute the AI roadmap, aligned with strategic business goals. Deliver Impact: Design and implement AI-driven tools, automation, and predictive analytics solutions. Collaborate: Work closely with stakeholders to identify opportunities for digital transformation. Stay Ahead: Monitor emerging technologies and assess their potential impact. Ensure Compliance: Uphold data privacy, security, and ethical More ❯

are known for their consultative approach, working closely with clients to design tailored solutions that improve efficiency, enable self-sufficiency and accelerate growth. With a strong focus on scalable analytics and advanced business intelligence, they are modernising data platforms to deliver future-ready solutions. This is a hands-on role where you will work across the full data stack, collaborating More ❯

re looking for Proven experience as a Data Warehouse Developer with strong Azure expertise. Solid understanding of SQL, T-SQL, and performance tuning. Hands-on experience with Azure Synapse Analytics, Data Factory. Strong background in data modelling, dimensional design, and ETL development. Proficiency in Power BI for data visualisation and reporting. Experience with Power Automate for process automation and workflow More ❯

performance alignment between platforms, working closely with business users, report owners and Power BI engineers Experience Developed 20+ reports/dashboards in Spotfire 8+ years of experience in BI & analytics with at least 5 years in Spotfire (including architecture, scripting, and advanced configurations). Strong experience with data modelling for BI platforms; dimensional modelling, fact/dimension tables, normalisation/ More ❯

find someone who has. Excellent written and verbal communication skills for presenting complex data in accessible terms Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset. Bachelors degree in business, economics, statistics, marketing, or a related field. Right to live and work in the UK without More ❯

or Agile Practitioner . Experience working in cloud environments (GCP, AWS, or Azure). Previous exposure to data engineering, AI , or machine-learning teams . Familiarity with data and analytics technologies (ETL tools, data warehouses, dashboards). TO BE CONSIDERED... Please either apply online or email me directly at .By applying for this role, you are giving express consent for More ❯