376 to 400 of 3,062 Analytics Jobs in England

attention to detail with the ability to summarise complex information clearly Confident written communication skills, particularly for senior audiences Desirable: Early career experience in analytics, finance, operations, or performance reporting Understanding of KPIs and management information Interest in continuous improvement or operational excellence Seniority & Development Suitable for a graduate … junior-level candidate Strong opportunity to develop commercial insight, stakeholder exposure, and analytics capability Salary Looking between £30,000 - £40,000 per annum DOE Hybrid and flexible working Hours: 37.5 per week Holiday: 22 days annual leave + Bank Holidays Training: In-house support and external development opportunities Pension Other ...

data and AI teams (10–15 people), with the ability to build high-performing, collaborative cultures Strong expertise in Artificial Intelligence and Advanced Analytics, including Machine Learning and Generative AI/LLMs Experience taking AI solutions from proof-of-concept to production-scale deployment Deep knowledge of Business Intelligence, reporting … analytics to enable data-driven decision-making Strong understanding of data governance, stewardship frameworks, and operating models Hands-on experience with data engineering and large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability ...

compliance, security, and end to end data operations, ensuring our information is accurate, consistent, and trusted. You’ll lead the delivery of reports, dashboards, analytics, and predictive insights, working closely with senior leaders to turn complex data into clear, actionable intelligence. As joint custodian of our Housing Management System … ensure data integrity, system configuration, and reporting all meet operational and regulatory needs. You’ll also guide the development of our Data Warehouse and analytics platforms, ensuring they are robust, scalable, and aligned with organisational goals. You will provide technical leadership on integrations, data modelling, and architecture, while driving innovation ...

controls Define data quality frameworks reference data management and issue management Ensure MDM integration into analytical and operational use cases Business Intelligence and Analytics Enablement Define enterprise BI and semantic layer architecture Set standards for KPI metric definition and reuse across the organisation Enable advanced analytics and data science consumption ...

opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You’ll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers ...

Enterprise Data Architect for major commodities trader you will be the architectural 'backbone' and technical authority for a market leading portfolio of data/analytics products. This is very much a hands-on architect role: you will design enterprise-grade data solutions and guide their delivery and impact globally working … enterprise, covering ingestion, storage, transformation, serving, and consumption layers. Make/document clear decisions on cloud vs. on-premise placement for data and analytics workloads, with explicit rationale and trade-off analysis. Design and optimise data warehouses and data models (relational, dimensional, and where appropriate, vault or lake-house patterns ...

support consistent, reliable decision-making. Provide hands-on BI delivery while influencing data-led thinking, mentoring others and driving the effective use of analytics across the organisation. About you: Ability to design and deliver high-quality BI dashboards that are intuitive, visually strong and easy for end users to interpret. … Advanced hands-on experience using Power BI as a primary reporting and analytics platform. Strong technical foundation in data modelling, DAX and Power Query, with a focus on performance and scalability. Confident querying and manipulating data using SQL across complex and high-volume datasets. Experience working with large, multifaceted data ...

Enterprise Data Architect for major commodities trader you will be the architectural 'backbone' and technical authority for a market leading portfolio of data/analytics products. This is very much a hands-on architect role: you will design enterprise-grade data solutions and guide their delivery and impact globally working … enterprise, covering ingestion, storage, transformation, serving, and consumption layers. Make/document clear decisions on cloud vs. on-premise placement for data and analytics workloads, with explicit rationale and trade-off analysis. Design and optimise data warehouses and data models (relational, dimensional, and where appropriate, vault or lake-house patterns ...

experienced Delivery & Technical Engagement Lead/Technical Delivery Manager to support a long-term cloud data modernisation programme focused on migrating from legacy analytics systems to a modern AWS-based data platform. This individual will act as the primary onshore representative and technical delivery manager for Coforge, ensuring alignment between … excellence through automation, documentation, reusability, and engineering discipline. Drive continuous improvement initiatives to uplift practices and delivery maturity. Required Technical Skills & Expertise AWS Data & Analytics (Hands-On Expertise) AWS Glue (ETL/ELT development, PySpark, Glue Catalog) Apache Spark AWS Redshift (modelling, optimisation) AWS Lambda AWS RDS AWS Step Functions ...

Compliance Support new systems/data integration and promote BI best practice What You’ll Bring Degree or relevant experience in data/analytics BI certification (e.g., Power BI) Strong MI/BI experience, ideally in financial services Advanced data modelling and dashboard skills Strong communication, accuracy and organisation Ability ...

strategies, and overall business planning. Duties and Responsibilities:Gathering quantitative and qualitative data from multiple sources, including industry reports, databases, surveys, interviews, and digital analytics tools.Monitoring and capturing information about market trends, competitor products, pricing strategies, and promotional activities.Cleaning and organizing raw data to prepare for analysis using statistical software … experience:Bachelor’s degree in business, economics, statistics, marketing, or a related field.Strong proficiency in Microsoft Excel and basic statistical analysis; familiarity with advanced analytics tools (e.g., Tableau, Power BI, Python, R) is an asset.Excellent written and verbal communication skills for presenting complex data in accessible terms.Attention to detail ...

Permanent *Banking Industry* *No Sponsorship* Summary of the role: The BI Platform Analyst will be responsible for working with stakeholders to identify and define analytics solutions, dashboards and best practice, actionable BI reports using Power BI, SAP BO, and Tableau to support business insights and decision-making. Key to this ...

with IT Support continuous improvement and Industry 4.0 initiatives, including data integration and visualization What We’re Looking For Bachelor’s degree in Business, Analytics, IT, Engineering, or related field experience in a Data Analyst, Business Analyst, or similar role Exposure to ERP systems (Dynamics 365 preferred) and operational environments ...

innovative mindset Desirable: SQL, advanced Excel, ERP exposure, interest in AI-driven reporting Who This Role Suits A recent graduate in Computer Science, Data Analytics or similar — or someone early in their career with hands-on experience building dashboards or automating processes who wants real ownership within a manufacturing environment. ...

. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with BI and Analytics teams in fast-paced environments. Ability to pair program and work effectively with other engineers. Excellent analytical and problem-solving abilities. Knowledge of agile methodologies ...

Youll be part of a structured, supportive environment designed to help you master statistical techniques, work with leading data tools, and grow alongside experienced analytics professionals. This is an excellent opportunity for ambitious graduates looking to combine practical learning with exposure to real business challenges and make a tangible impact ...

+ 10% bonus & bens Sector: Fintech/Payments Overview We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. ...

coding skills with the ability to refactor, optimise, and stabilise existing codebases. Experience implementing parameterisation, configuration, logging, exception handling, and modular design. SAS & Legacy Analytics Strong foundation in SAS (Base SAS, SAS Macros, SAS DI Studio). Experience understanding, debugging, and modernising legacy SAS code. Data Engineering & Testing Ability ...

contract. 87.15 p/h Umbrella, inside IR35. What you will do as a Principal Data Analyst Lead the design and delivery of advanced analytics solutions across multiple projects. Oversee the design and maintenance of dashboards, reports and automated workflows using dashboarding tools and data warehousing solutions, such as SQL. ...

growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives. The Company They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports ...

confidently. Utilise AI in all workflows as a key driver for data. What You Bring 5+ years of hands-on experience in data analytics . Commercial experience with DBT and Snowflake. A very keen interest and experience in AI. Proficiency in SQL, Python, and Excel. Experience with version control tools ...

Services, Insurance, Healthcare and Life Sciences. We help our customers in their digital transformation journey and provide solutions around cloud infrastructure, containers, AI, Client & Analytics and Automation. We have partnerships with SAS, Automation Anywhere, Snowflake, Azure, AWS and GCP. (To learn more: www.stratacent.com ). Stratacent is an equal opportunity employer. ...

performance metrics, highlighting risks and opportunities. Tools & Systems Build and optimise Power BI dashboards and other visualisation tools. Use Jira, Excel, and other analytics tools to extract and manipulate data. Support automation of reporting processes to improve efficiency. Skills & Competencies Strong analytical and problem-solving skills with exceptional attention ...

with strong analytical capabilities. Client Details Credit Risk Analyst - Consumer Lending The organisation is a reputable entity within the financial services sector, specialising in analytics and credit risk management. It is a medium-sized company with a focus on delivering innovative solutions and fostering a collaborative work environment. Description Credit ...

This is a unique opportunity to gain hands-on experience in enterprise integration, data analytics and software design. Working alongside experienced professionals to support the design, development, testing, and monitoring of integration solutions across our platforms. Role Build and maintain integrations using Azure Integration Services and Talend/Qlik tools. ...