2,001 to 2,025 of 2,698 Remote Analytics Jobs

this role sits within the metals trading area and will support both financial and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision … responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/ More ❯

this role sits within the metals trading area and will support both financial and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision … responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/ More ❯

this role sits within the metals trading area and will support both financial and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision … responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/ More ❯

this role sits within the metals trading area and will support both financial and physical trading teams. The role will focus on building and improving a modern metals trading analytics & visualisation platform. You’ll deliver production-grade Python systems, dashboards, automation and data pipelines that provide traders and risk teams with fast, reliable insights to support trading and risk decision … responsibilities Design, develop and maintain production Python services and ETL pipelines for trading analytics. Build and enhance dashboards and visualisations (Grafana or equivalent) for traders and risk teams. Implement analytics, aggregation and automation to improve data quality, latency and reporting. Work closely with traders, risk, and data engineers to translate business requirements into reliable software. Contribute to deployment, CI/ More ❯

articulate the differentiation of Constructor to prospects will be critical. Our next Solutions Architect is well-versed in enterprise eCommerce and has experience with Cloud technologies, data science and analytics/testing principles, SaaS, solution design, software development methodology, security requirements, SaaS architectures, and enterprise integrations. You are comfortable presenting to prospects and partners to showcase Constructor's differentiation and … starter mindset especially when faced with ambiguity. Technical Expertise This role requires a strong technical foundation. Ideal candidates should have prior experience working with APIs, data structures, testing and analytics and software integrations. While hands-on development experience is not required, prior coding experience has been beneficial in the role. Key technical expectations include: Working knowledge of front end software … retailer technology stacks Ability to comprehend complex data structures and prescribe best practices to optimize them Familiarity with data science and statistics principles, A/B testing methodologies and analytics Ability to explain AI and Machine Learning concepts to both technical and non-technical audiences This role is ideal for someone who can bridge the gap between engineering and business More ❯

This role involves designing, developing, and maintaining robust data pipelines to support analytics within the industrial and manufacturing sector. The successful candidate will be heavily involved in supporting our cloud migration transition. Client Details Based in Manchester City Centre, we are a leader in our field in the UK and Ireland We are a testing, inspection, certification, and compliance (TICC … responsible for but not limited to: Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database, Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

This role involves designing, developing, and maintaining robust data pipelines to support analytics within the industrial and manufacturing sector. The successful candidate will be heavily involved in supporting our cloud migration transition. Client Details Based in Manchester City Centre, we are a leader in our field in the UK and Ireland We are a testing, inspection, certification, and compliance (TICC … responsible for but not limited to: Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database, Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts. Work with other members More ❯

their industry; our client is seeking an adept professional to spearhead strategic leadership and technical expertise within their data solutions landscape, focussed on cloud data platforms, but including IoT analytics, data integration, and migration projects. This unique opportunity is offered on a remote-first basis, but with an open invitation to their headquarters any time. Role Responsibilities: The Data Architect … and demonstrable data modelling capabilities. About the Company: Our client is a well-established organisation in their field, known for innovation and excellence. Specialising in niche data management and analytics consultancy, they offer the dynamism of a burgeoning company whilst maintaining strong partnerships with longstanding clients. Their commitment is to help clients derive valuable insights from data and achieve their More ❯

their industry; our client is seeking an adept professional to spearhead strategic leadership and technical expertise within their data solutions landscape, focussed on cloud data platforms, but including IoT analytics, data integration, and migration projects. This unique opportunity is offered on a remote-first basis, but with an open invitation to their headquarters any time. Role Responsibilities: The Data Architect … and demonstrable data modelling capabilities. About the Company: Our client is a well-established organisation in their field, known for innovation and excellence. Specialising in niche data management and analytics consultancy, they offer the dynamism of a burgeoning company whilst maintaining strong partnerships with longstanding clients. Their commitment is to help clients derive valuable insights from data and achieve their More ❯

and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and More ❯

and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and More ❯

and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with technology, data, and … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and More ❯

for the insurance industry, across a range of business functions. Without a solid data foundation, clients struggle to achieve their vision for a data-powered future, including implementing advanced analytics, machine learning, and artificial intelligence. Our team delivers transformational AI and data solutions that benefit our clients, their customers and regulators. A well-designed data solution architecture sits at the … core of our clients' strategy to enable the effective deployment of advanced analytics and AI models to gain competitive advantage in their respective sub-sector (inc. Life, GI, London Market and Reinsurance) and deliver better products and services to their customers. Our Data & AI Architecture team specialises in 'designing for data': how to source it, how to store it, how … role, you will be expected to: Lead the definition and design of end-to-end functional and solution architectures that articulate what capabilities are required to support data and analytics activities. Help market-leading clients understand how they can use data and leverage cutting edge technologies to address challenges, ambitions, and objectives. Work closely with executive-level client stakeholders and More ❯

strategic direction of the Platform and its Products. Maintaining continuity whilst navigating the LBG data transition from GDW to GCP. About you Demonstrable years' experience in Data Science or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with … A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear and compelling stories that strategically influence. Strong communication skills and the ability to collaborate effectively with a wide range of stakeholders, both technical and non-technical. An understanding of JIRA and Confluence More ❯

strategic direction of the Platform and its Products. Maintaining continuity whilst navigating the LBG data transition from GDW to GCP. About you Demonstrable years' experience in Data Science or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with … A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear and compelling stories that strategically influence. Strong communication skills and the ability to collaborate effectively with a wide range of stakeholders, both technical and non-technical. An understanding of JIRA and Confluence More ❯

strategic direction of the Platform and its Products. Maintaining continuity whilst navigating the LBG data transition from GDW to GCP. About you Demonstrable years' experience in Data Science or Analytics roles, A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R Experience with … A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problem. An ability to translate complex analytical outputs into clear and compelling stories that strategically influence. Strong communication skills and the ability to collaborate effectively with a wide range of stakeholders, both technical and non-technical. An understanding of JIRA and Confluence More ❯

Monetisation: Design and deliver features that solve user problems and unlock sustainable business value through new revenue streams and better marketplace liquidity. Data-Led Decision Making: Leverage insights from analytics (e.g. GA4, SQL, Tableau) and user feedback to identify problems, test hypotheses, and continuously optimise the experience. Championing the User: Balance commercial goals with empathy for the private seller and … Entrepreneurial Spirit: You thrive on autonomy, love solving big problems, and aren't afraid to take smart risks in pursuit of breakthrough results. Data-Driven Product Development: Comfortable using analytics and research tools (GA4, SQL, Tableau, Hotjar, Wootric, etc.) to guide decisions and validate outcomes. Applied AI & ML Understanding: Appetite for leveraging AI tools to improve productivity, decision-making, and More ❯

Hays are supporting a business in Wiltshire who are recruiting a permanent Data Analytics Manager. The salary on offer is c55k and hybrid working typically 2 or 3 days per week on site. In the role, you will support shaping business strategy through data and analytics and insights. You'll work closely with non-technical stakeholders across the organisation and … be split between hands-on data analysis and managing a data analyst as well as supporting their growth and personal development. You'll need to come from a data & analytics background ideally with some recent management experience. Technical knowledge of SQL and Python is essential. You will need to have good stakeholder management skills and be able to translate technical More ❯

Hays are supporting a business in Wiltshire who are recruiting a permanent Data Analytics Manager. The salary on offer is c55k and hybrid working typically 2 or 3 days per week on site. In the role, you will support shaping business strategy through data and analytics and insights. You'll work closely with non-technical stakeholders across the organisation and … be split between hands-on data analysis and managing a data analyst as well as supporting their growth and personal development. You'll need to come from a data & analytics background ideally with some recent management experience. Technical knowledge of SQL and Python is essential. You will need to have good stakeholder management skills and be able to translate technical More ❯

About Us Increase your chances of reaching the interview stage by reading the complete job description and applying promptly. At Ingentive, we believe every teammate is a representative of our business and its values. As a leading Microsoft Elite Partner More ❯

Role Title: Data Modeller/Architect Duration: contract to run until 31/12/2025 Location: London, hybrid 2/3 days per week onsite Rate: up to £483 p/d Umbrella inside IR35 Role purpose/summary More ❯

Role Title: Data Modeller/ArchitectScroll down to find the complete details of the job offer, including experience required and associated duties and tasks. Duration: contract to run until 31/12/2025 Location: London, hybrid 2/3 More ❯

Job Title: Junior Solutions Consultant Location: Aldgate, London (Hybrid Working) Salary: £31,000 to £35,000We are working with a leading provider of Third-Party Risk Management (TPRM) and Open Source Intelligence (OSINT) solutions. Our mission is to help organisations More ❯

Head of Business Intelligence - Leeds Hybrid working available. 2-3 days per week onsite Salary - upto £55,000 The Head of BI is responsible for developing and implementing the company's data and reporting strategy to provide insights for strategic More ❯

driven business and product insights by combining deep statistical skills, data manipulation capabilities and business acumen Maintaining, defining metrics and building dashboards Autonomously executing data analysis, applying existing data & analytics strategies relevant to immediate scope Partnering with data engineers to define and build simple data models, integrating existing tools to automate data ingestion, data manipulation, quality control and data analysis … Adhering to and advocating for data analytics best practices Presenting results to peers, stakeholders, and team members Collaborating with stakeholders The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1 For which the provider is likely to be More ❯