1 to 25 of 129 Remote Analytics Jobs in West Sussex

CDP and SCV, aligning with overall business objectives and stakeholder needs. Requirements Gathering: Proactively gather, analyze, and prioritize requirements from internal stakeholders (marketing, product, analytics, etc.) for data integration, access, and utilization. Data Source Integration: Oversee the integration of various data sources into the CDP, ensuring data quality, consistency, and More ❯

datasets from various sources into relevant data structures. Data Governance: Ensure data is consistent, reliable, and stored securely Continuous Improvement : Drive process improvements in analytics, reporting, and stakeholder communication. Key skills required; Experience working in a similar role, preferably in Financial Services sector Excellent SQL skills including writing complex queries More ❯

As we continue to grow, we're excited to offer a valuable opportunity for a Data Analysis Intern to become part of our vibrant analytics team. This paid internship is ideal for recent graduates or aspiring data professionals looking to kick-start their careers in data analysis. You’ll collaborate More ❯

focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Role & Responsibilities: Data Infrastructure & Support: Provide first-line support for data engineering tasks, such as managing and monitoring More ❯

Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information More ❯

of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines, developing talent and internal capability More ❯

technical guidance to peers and junior analysts Keep up to date with emerging data science trends and technologies Contribute to continuous innovation within the analytics function Support the delivery of key business KPIs including EBITDA performance Embed data at the heart of decision-making processes across the organisation What We More ❯

Environment : Work with domain experts and technologists who know power markets inside out. 💼 Strong Foundation : Ideal launchpad for a career in data science, energy analytics, or financial modelling. What We’re Looking For: A BSc or MSc in Economics, Econometrics or Mathematics Working knowledge of Python and SQL for data More ❯

bps. As a Staff Frontend Developer, your responsibilities will include: Lead frontend architecture and development of scalable, high-performance UI components for financial analytics platforms, ensuring seamless data visualisation and interaction Optimise user experience by collaborating with designers and engineers to create intuitive, responsive, and accessible interfaces Develop and optimise More ❯

of relational databases and data warehouse principles Excellent documentation and written communication skills Ideally, experience with some or all of the following Azure Synapse Analytics, Tabular Editor 3, Microsoft Fabric and Azure Data Platform tools. Confident working with stakeholders at all levels across the business Experience working in large enterprise More ❯

data collection, automation control, and troubleshooting. Industrial Networking & Protocols: Proficiency in OPC UA, Profinet, Modbus, Ethernet-IP for seamless communication between industrial devices. Data Analytics & Visualization: Experience using Power BI, SQL, Python, and C# to develop data-driven insights from automation systems. Machine Connectivity & IIoT: Strong understanding of IoT sensors More ❯

Agile principles and methodologies, including experience with SAFe (Scaled Agile Framework). A background in at least one Data capability (Business Intelligence, Data Engineering, Analytics & AI, Data Governance) Extensive experience in leading successful agile teams either as a scrum master, agile delivery lead, or release train engineer Excellent understanding of More ❯

Essential Skills & Experience Strong experience with SQL for data extraction, transformation, and querying. Hands-on experience with Microsoft Azure, including Azure Data Factory, Synapse Analytics & Azure Data Lake Solid understanding of data warehousing concepts and ETL/ELT pipelines. Ability to work independently in a remote-first environment. Desirable Skills More ❯

Engineer will design and implement complex data flows to connect operational systems, build and maintain data environments, evaluate and develop tools to improve data analytics platforms and recognise opportunities to reuse existing data flows between teams. Requirements This is a leadership role and requires not only demonstrable experience of leading More ❯

pivotal in supporting strategic decision-making through robust financial planning, forecasting, and insightful analysis. You'll leverage data from various systems to build comprehensive analytics and provide key performance insights to senior leadership. What you'll bring to the table: Proven experience in building and maintaining complex financial models for More ❯

Kubernetes). Design and implement microservices and APIs for internal tools and external integrations. Work with data at scale (market data ingestion, real-time analytics, historical storage). Required Skills & Experience: Core Engineering: 5+ years of experience in software development, with exposure to both backend and frontend stacks. Strong programming More ❯

in a fast-paced, delivery-oriented transformation environment. Technical Tools & Platforms Familiarity with the following platforms is beneficial: CRM systems such as Salesforce Google Analytics 4 Power BI Optimizely or similar testing/personalisation tools Martech and data platform integration technologies Interview Process 2 stage More ❯

Platforms managing offices, coworking spaces, or corporate real estate. E-Commerce & Marketplace SaaS – B2B or B2C platforms providing digital transactions, marketplaces, or customer engagement. Analytics & Data SaaS – Business intelligence, data insights, or performance tracking software. IoT & Automation SaaS – Smart property management, energy optimisation, or automation solutions. CRM & Customer Success SaaS More ❯

database performance tuning to optimise system performance. Support the underlying Epicor architecture, infrastructure, and OS as required. Provide Service Connect application support. Reporting and Analytics: Design and develop SSRS reports and dashboards to meet business intelligence needs. Compliance and Risk Management: Ensure SOX audit compliance through user access reviews and More ❯

benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics community. Collaborate with DevOps and Data Engineers to deploy ML Models Set standards for R&D practices and lead meetings with partners. Refactor code into More ❯

Analytics Engineer Location: Hybrid (Edinburgh HQ or remote UK-based) Salary: Competitive + Bonus + Profit Share Wyoming Interactive is an award-winning digital consultancy that designs and delivers sophisticated digital platforms for global leaders in Life Sciences, Financial Services, and Technology . Our work helps enterprise clients better understand … engage, and convert their customers, with the right data powering the right decisions. We’re now hiring an Analytics Engineer to support a high-profile international client. This role focuses on transforming and modelling marketing data so it can be used for decision-making, personalisation, and campaign activation across multiple … platforms and markets. The Role As an Analytics Engineer , you’ll sit between data engineering and marketing activation. Your job is to make raw data usable, building scalable, governed datasets that power segmentation, performance measurement, and automated marketing journeys. You won’t be running campaigns or designing the customer journey More ❯

term growth, performance, and value creation. About the Department The Business Intelligence team is a core function responsible for managing the entire reporting and analytics lifecycle—from requirements gathering and data extraction to visualisation, testing, and delivery. The team provides critical support across finance, treasury, risk, and strategic planning, while … also managing enterprise BI tools and platforms. With a focus on excellence, the team leverages analytics to support informed decision-making, operational efficiency, and long-term business value. Key Responsibilities Champion analytics and business intelligence initiatives across all departments, promoting a culture of data-led decision-making. Serve as a … scale database environments. Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance. Lead delivery of advanced analytics and AI-driven projects aligned with business strategy. Analyse performance data to uncover trends, drive insights, and highlight strategic opportunities. Collaborate closely with stakeholders to More ❯

Spring Boot, microservices, and multi-threaded server-side web applications? If so, we have the perfect opportunity for you! Our client, an award-winning analytics company who optimise businesses productivity and performance, are looking for a Senior Backend Developer to join their team on a full-time basis in West More ❯

of data scientists across multiple projects. Depending on experience, this may include upskilling those around you. Deliver Real Business Impact: Use predictive and prescriptive analytics to generate insights that translate into tangible improvements for client campaigns and marketing strategy. Prototype & Scale: Develop tools, frameworks, and self-service prototypes that showcase More ❯

machine learning technologies. As we grow, we’re excited to open the door for an AI Engineer Intern to join our passionate AI and analytics team. This paid internship is perfect for recent grads or anyone looking to launch their career in AI engineering. You’ll work side-by-side More ❯