51 to 75 of 418 Remote Data Visualisation Jobs

We are looking for an experienced Cloud Data Architect to join our Data (Migration) team and drive the architecture, design, and implementation of customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like … Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our organization's strategic goals. Data Architecture and Strategy: Lead the development and implementation of data architecture strategies that align with business objectives. Design and … oversee the architecture of enterprise data warehouses, data lakes, and big data platforms. Establish best practices and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data More ❯

Data Analyst (FTC – Hybrid, UK-based) Location: Remote/Reading (Hybrid) Type: Fixed-Term Contract 1 year Salary: £35,000 with excellent benefits Shape the future of land and property data across England and Wales. Are you a data-driven problem-solver with a sharp eye for detail and a passion for complex data transformation? A high-impact opportunity has just opened for a skilled and proactive Data Analyst to join a cutting-edge Data Engineering team that’s powering one of the most ambitious digital transformation programmes in the UK. This is your chance to work at the forefront of a nationally significant data modernisation … Bring: Proven experience as a Data Analyst in a data-focused, engineering-led environment Strong SQL skills and a working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and tools (FME, QGIS, ArcGIS, etc. More ❯

we're proud to be one of the fastest-growing retailers in the UK. And we want to pass that growth onto you. Are you passionate about turning data into powerful insights that shape strategic decisions? At Screwfix, we're looking for a Senior Analyst (Customer Data) to play a critical role in transforming how we … marketing - Strong expertise in data analysis and statistical modelling. Experience of data science and machine learning techniques. - Significant experience and strength in data visualisation and storytelling - able to communicate complexity in a straightforward and visually engaging manner, creating a compelling narrative. - Proficiency in analytical tools such as SQL, Python, R. - Proficiency in data visualisation platforms (e.g. Tableau or Power BI). - Excellent communication and presentation skills, confident verbally and in writing. - Strong relationship management skills, able to build high quality relationships with a range of internal stakeholders. - Excellent attention to detail, focused on accuracy and integrity of work. - Strong problem-solving skills, able to synthesise data from multiple More ❯

Title: Insights Delivery Manager Reporting to: SVP Data & Insights Contract: 6 months FTC Location: London/Hybrid (3 days a week) About Reward Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media. Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content … leadership skills, complementing your analytical expertise while gaining significant commercial experience through client and partner engagement. Responsibilities Insight Product Delivery: Define & deliver agreed schedule of client insight products Reporting & Visualisation: Create clear, concise, and visually impactful reports and dashboards to present findings effectively to stakeholders. Technical Client Support: Take the lead in resolving client issues Project Management: Oversee multiple … Skills Analytics Tools: Proficiency in data analysis tools and platforms like Excel, SQL, AWS tools, or Python for data manipulation and analysis. Data Visualisation: Experience using data visualization tools such as Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools More ❯

Title: Insights Delivery Manager Reporting to: SVP Data & Insights Contract: 6 months FTC Location: London/Hybrid (3 days a week) About Reward Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media. Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content … leadership skills, complementing your analytical expertise while gaining significant commercial experience through client and partner engagement. Responsibilities Insight Product Delivery: Define & deliver agreed schedule of client insight products Reporting & Visualisation: Create clear, concise, and visually impactful reports and dashboards to present findings effectively to stakeholders. Technical Client Support: Take the lead in resolving client issues Project Management: Oversee multiple … Skills Analytics Tools: Proficiency in data analysis tools and platforms like Excel, SQL, AWS tools, or Python for data manipulation and analysis. Data Visualisation: Experience using data visualization tools such as Tableau, Power BI, Looker, or similar to create interactive dashboards and visual reports. Reporting Tools: Proficient in using reporting tools More ❯

Power BI Developer Location: Hampshire/Hybrid Role Overview Our client is undergoing a major transformation and is building a new data team to drive business insights and support key functions like data migration and management. They seek a dynamic and skilled Power Business Intelligence Developer to develop, optimise, and manage data infrastructure, enabling … data-driven decision-making. This role involves both business intelligence development and data engineering, including creating data models, dashboards, and reporting solutions. Additionally, you will contribute to the establishment of the gold medallion data layer for advanced analytics. Collaborating with SQL developers and system experts, you will ensure data is … Power BI development experience, including expertise in PBI Desktop, PBI Service, and content distribution. Strong understanding of data management platforms, BI lifecycle methodologies, and data visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. Expertise More ❯

Senior Analytics Engineer Location: London, Hybrid (minimum 2 days per week in office) Type: Full-Time, Permanent Reports to: Engineering Manager/Lead Data Engineer Salary: £55,000-£70,000 per annum Due to the nature of our work, candidates must be eligible for Security Clearance. Join Our Mission At QuantSpark, we're transforming how data … street brands, and premium consumer goods companies optimise inventory, enhance price competitiveness, and deliver personalised customer experiences. Asset Management: We build AI-powered investment decision support systems, alternative data integration platforms, and automated risk management solutions for prestigious asset management firms. Public Sector: We're trusted by multiple UK government departments and public sector organisations to deliver predictive … modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional communication skills with ability to explain complex technical More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯

conducting rapid follow-on analyses, (2) work closely across the business in a consultative and cross-functional capacity to identify and propose ways to improve our use of data for forecasting and analytics, and (3) work across the FPA team to improve process, documentation, and knowledge management continuously. While an end-to-end data science skillset … continuous improvement initiatives to achieve cost savings and efficiency gains. Work with partners, vendors, and consultants on cross-functional projects, including developing solution functional requirements, feature prioritization, and data management/governance aspects. Applied Data Science Hands-on model execution, output management, and communicating results clearly and succinctly. Partner with the Data, Digital, and … Technology (DD&T) Data Science team and consultants to develop and improve on existing analytical models. Complete ad hoc analytics analyses, including descriptive analyses and/or predictive modeling. Build AI/ML and statistical model prototypes for measuring and understanding key drivers of our business. Collaboration and Adaptability Build strong relationships with cross-functional partners for efficient More ❯