26 to 50 of 700 Analytics Jobs in the South East

Extensive knowledge of Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage More ❯

the latest features, trends, and capabilities in Power.B.I., Microsoft Fabric, and the wider data viz space Deliver impactful presentations and demos for clients, showcasing the value of strong visual analytics EXPECTATIONS IN THE ROLE The following skills and attributes are essential for success in this role: Power BI Mastery: Deep experience in developing advanced Power.B.I. dashboards, with a solid grasp More ❯

an experienced Data Engineer to join their Technology team on an 18-month fixed-term contract. You'll play a key role in building and optimising data pipelines, enabling analytics and AI, and integrating enterprise systems like CRM, HR, and Finance. Key Responsibilities Design and develop scalable data pipelines using Azure Data Factory, dbt, and Synapse Build enriched datasets for More ❯

Effective communicator, able to bridge the gap between technical data and business understanding Desirable Skills: Experience in financial modelling and forecasting Knowledge of Python, R, or DAX for advanced analytics Previous work in a fast-paced or scale-up environment Apply Now: If you’re an experienced BI Analyst with a passion for finance and data, and you're available More ❯

and with ongoing professional development, the successful candidate will become a vital member of the Data Platform team. Key responsibilities: Support business users in Alteryx development. Develop workflows and analytics solutions using best practices, including data querying, parsing, analysis, and automation. Evaluate requirements, create technical design documents, and follow Agile methodologies. Collaborate with internal teams and contractors to develop Alteryx More ❯

in Python and SQL, with a passion for turning data into insights Experience building and deploying CI/CD pipelines Solid background in data modelling and data transformation for analytics and AI Hands-on experience working with or applying Large Language Models (LLMs) to real-world use cases Collaborative, client-focused approach to delivering tailored technical solutions Qualifications & Experience: A 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 ❯

years' experience in the UK mortgage market. Keystone Property Finance are looking for a highly motivated individual with a numerical and analytical background to join our expanding data analytics team. The ideal candidate will be proactive, keen to learn new skills, have an interest in coding, a self-motivated problem solver, analytically thinking, efficient, with strong inter-personal skills and More ❯

and business stakeholders. Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data/business intelligence/analytics is preferred. We also value: Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster More ❯

knowledge, experience and qualifications that will help Some experience in a data analyst or related role (ideally in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as More ❯

knowledge, experience and qualifications that will help Some experience in a data analyst or related role (ideally in B2B Saas/Tech/software industry) Demonstrable passion for data analytics, particularly marketing, product data analysis Ideally you would have experience using analytical tools such as SQL (BigQuery), GA4, Search Console, Google Ads, Amplitude, Salesforce o Data visualization tools such as More ❯

in the Reed.ai team using data visualisation and story telling Prioritise workflow to meet the requirements of regular reporting v new analysis Skills and Experience 3 years+ experience in analytics Strong ability to write and execute SQL queries for data extraction, manipulation, and analysis Experience with Python for advanced data analysis, statistical modelling, and automation Comfortable with a variety of … data sets, testing methodologies, and success metrics Hands-on experience with web analytics (Google Analytics, Adobe Analytics) and visualisation tools) Understanding of performance product and marketing channels Experience with ad trafficking, tracking mechanisms, and digital marketing platforms Attention to detail, pursuit of the truth Benefits Hybrid working as standard 25 days annual leave plus bank holidays Flexible holiday scheme Paid More ❯

Analytics Engineer (Contract) £500/day (Outside IR35) London (3 days/week on-site) 6-month initial contract The Role A major logistics business is undergoing a full rebuild of its legacy, siloed data estate - and we're hiring an experienced Analytics Engineer to help drive the transformation. You'll join a newly formed data team under a new … Head of Data, working on a clean-slate Azure-based platform. The role bridges data engineering and analytics, focused on building scalable data models, automated pipelines, and enabling self-serve analytics across the organisation. Key Responsibilities Build and maintain scalable data pipelines using Azure Data Factory and Databricks Develop transformation workflows in dbt, SQL, and Python Design dimensional models and … semantic layers to support analytics use cases Implement automated data quality checks, monitoring, and alerting systems Create reusable data assets and documentation to support self-serve analytics via Power BI Work with analysts and business stakeholders to translate requirements into technical solutions Maintain clean, version-controlled codebases and contribute to documentation and data governance Support best practices in analytics engineering More ❯

document minutes and actions. Governance & Compliance Ensure adherence to PMO standards, methodologies, and templates. Support project audits and quality assurance reviews. Monitor compliance with contractual and regulatory requirements. Reporting & Analytics Produce regular portfolio dashboards and performance reports. Track KPIs, resource utilization, and project financials. Support capacity planning and forecasting activities. Tool & Process Management Administer project management tools (e.g., Azure DevOps More ❯

document minutes and actions. Governance & Compliance Ensure adherence to PMO standards, methodologies, and templates. Support project audits and quality assurance reviews. Monitor compliance with contractual and regulatory requirements. Reporting & Analytics Produce regular portfolio dashboards and performance reports. Track KPIs, resource utilization, and project financials. Support capacity planning and forecasting activities. Tool & Process Management Administer project management tools (e.g., Azure DevOps More ❯

OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases. Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM, Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs. Experience of modelling and mapping data into OMOP format. Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11). More ❯

across the business. Key Responsibilities: Own and manage the entire data lifecycle, from ingestion to delivery, ensuring accuracy, quality and compliance Define and implement the organisation's data and analytics strategy, aligning with business objectives Establish and maintain a robust data governance framework, including clear policies, standards and procedures Ensure all data practices comply with GDPR, NIS and other relevant More ❯

drive decisions, forecast performance, and uncover new business opportunities. We’re looking for a data-savvy analyst with expert Excel and Power BI skills to take our reporting and analytics to the next level. This is a role where your insights will directly shape commercial success. What You’ll Do Own and enhance our sales reporting framework — weekly, monthly & ad More ❯

TypeScript or Dart Python, specifically Django Angular WebGL Sass Experience with the full software lifecycle including interpretation of requirements, unit, integration and e2e testing, CI/CD pipelining Data analytics or background in Maths C++ (our deeper level analysis of CAD files is written in this, but would not be a part of the role unless desired) Our Culture We More ❯

is supported by 6 key principles which are to: (1) Embrace technology, (2) Be strategic, (3) Be timely and efficient, (4) Think data, (5) Focussed development, and (6) Strengthen analytics and insight. As part of this evolution and our modernisation programme, the role holder will focus on ensuring all existing and incoming project initiatives that require SME resources primarily in More ❯

Google Classroom. Demonstrated expertise in managing enterprise business systems such as LMS, Salesforce, HR platforms, Power BI, SQL databases, and online learning environments. Skilled in data governance, reporting, and analytics, with a strong ability to translate both business and academic requirements into effective technical solutions. Proven ability to lead and manage a team of business systems developers, while providing proactive More ❯

financial data, identify trends, and provide actionable recommendations. Highly organised with excellent attention to detail and project management skills. Proficiency in financial reporting tools (Excel, Power BI, or other analytics platforms). Ability to travel to the hotels (UK) on a regular basis and to European head office in Amsterdam, when required. Company Market leading investment management organisation Operations in More ❯

the systems, software and security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more. Flexible benefits to fit your life Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling More ❯

the systems, software and security needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more. Flexible benefits to fit your life Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling More ❯

edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term … and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure … in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What More ❯