2,151 to 2,175 of 10,478 Analytics Jobs

reliable reporting, data quality, master data principles and responsible use of AI where there is a clear business benefit. You will assess where AI, analytics or automation can improve customer experience, colleague productivity, operational efficiency or decision-making, while ensuring solutions remain secure, explainable, supportable and aligned to Fortnum & Mason … environment or leading management consultancy, ideally covering several of the following domains: retail, hospitality, supply chain operations, eCommerce, customer platforms, enterprise applications, data and analytics, integration, cloud services, finance, HR or other central services. TOGAF certification or practical experience using recognised architecture frameworks, design governance, architecture principles and structured decision ...

exciting time of Change and Transformation. Reporting to the Credit Risk Manager and working closely with the Director of Credit Risk and Data Analytics, this is a unique opportunity to become one of the key architects of our future decisioning and risk management framework. What You’ll Do. … improve lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders across ...

opportunity with a leading client in Chiswick, West London.## Requirements* 8+ years of experience in solution architecture, with a focus on data management, data analytics, and enterprise-scale applications involving large-scale data systems* Strong product understanding and knowledge of product lifecycle* Expertise in cloud technologies (AWS preferred), microservices architecture … methodologies* Understanding of architecture design patterns and practical application in large-scale systems* Knowledge of enterprise data management frameworks, data warehousing strategies, and data analytics systems* Proficient in .NET development and framework utilisation to build scalable, maintainable, and performant enterprise applications* Skilled in designing and implementing event-driven architectures that ...

elements with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent available … batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency ...

cornerstone of our founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement … quantitative field) is a significant asset 3–5 years of full-time experience in one or more of the following: consulting, data/analytics, marketing, advertising, finance, or tech — with a clear track record of client‐facing delivery and independent problem‐solving Exceptional verbal and written communication skills ...

safeguarded. Why be the Data Engineering Lead at THG? THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three … platform and first‐layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high‐quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define ...

About the Role Grade Level (for internal use): 09. The Team: S&P Global (SPGI) is a leader in credit ratings, benchmarks and analytics for the global capital and commodity markets. Reporting to the Director for Internal Audit, you will be part of a diverse Internal Audit team with coverage … effective remediation. Build and maintain productive working relationships with business unit management, acting as a trusted, objective advisor while maintaining independence. Leverage data analytics, automation, and emerging technologies to enhance audit efficiency, coverage, and insight. Contribute to the continuous improvement of Internal Audit practices by staying current on audit standards ...

whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products … with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables ...

with a dotted line to the IT Director, and work closely with the Principal Data Engineer, the Data Engineering Manager, the Head of Pricing Analytics and the Data Products Manager. You'll also engage directly with commercial, marketing, and finance stakeholders, and with IT, Legal, Infosec and the wider architecture … contracts for integrations with the GDP and other agreed priority systems, covering ownership, fields, keys, formats, quality expectations, refresh, and change management. Design how analytics, ML models, AI services and agents access and interact with the platform, including API and MCP interfaces, permissions, grain, and the boundary between read ...

standards for marketing datasets, including documentation of metric definitions and data lineage Identify opportunities to automate recurring reporting and improve the efficiency of the analytics function Collaborate with data engineering to influence the underlying data model where it affects marketing reporting needs Mentor junior analysts on best practices … Deepnote (or comparable notebook tools such as Jupyter): comfortable using Python/SQL in a notebook environment for analysis beyond dashboarding Confident with Google Analytics and Excel Solid grounding in marketing metrics and measurement frameworks across paid, owned, and earned channels Ability to communicate technical findings to non-technical audiences ...

Engineer | Remote | £60,000-£80,000 I'm currently working exclusively with a well-established organisation investing heavily in its cloud data platform and analytics capability. This is a fantastic opportunity for a Data Engineer who enjoys building modern, scalable data solutions and wants to play a key role ...

cross‐functional teams Additional Knowledge & Skills Strong communication skills for presenting research findings, design rationale, and recommendations to stakeholders. Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with ...

graduates from adjacent fields into data science in a year, and international students value it as a route to the Graduate Route visa. 3 Analytics-to-data-science progression Many data scientists start as data analysts or business analysts, then move up by adding programming, statistics and machine learning … prioritisation Collaboration with engineering and product teams Scientific scepticism and intellectual honesty Continuous learning in a fast-moving field Technology & software firms Product analytics, recommendation systems, search, personalisation and ML platform teams — the highest-paying non-finance roles, often with equity. Risk modelling, fraud detection, algorithmic trading, credit scoring ...

develop technical strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

share best practices and drive global service improvements. Support strategic initiatives and roadmap projects led by the Global Support Director. Enhance internal reporting, analytics, and productivity processes using tools like Power BI and Tableau. Experience & SkillsEssential: Proven experience leading technical support teams and meeting SLA targets. Strong background … servers, Windows OS.Demonstrated success in performance management and team development. Skilled in managing escalations and building relationships with blue-chip clients. Proficient in data analytics and reporting tools (e.g. Power BI, Tableau).Familiarity with AI technologies. Desirable: Knowledge of IT security and cloud applications. Fluency in an additional European language ...

develop technical strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer … Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse ...

board sees. Our current stack is Postgres replicated into Snowflake via Fivetran, dbt for transformation, Omni for modelling and dashboards, Amplitude for product analytics, and Statsig for experimentation, plus a growing set of bespoke dashboarding and reporting instrumentation. Key Responsibilities Own the canonical definitions. Sponsor an agreed definition for each … those questions, then build the reporting that stops them being asked again. Set the governance: access, PII handling, how deleted users are treated in analytics, what can and can't leave an aggregate. Plus the commercial side of the data stack itself, since pipeline spend at our scale is worth ...

shape how marketing infrastructure evolves as Feeld grows. What you will do: Own and evolve Feeld’s marketing technology ecosystem across acquisition, lifecycle, attribution, analytics, and automation platforms Build and maintain scalable integrations, workflows, APIs, and data pipelines that ensure reliable and actionable marketing data Partner closely with Engineering, Product … compliance best practices Improve operational efficiency through automation, process optimization, and scalable documentation Act as a strategic and operational bridge across Marketing, Engineering, Analytics, and external partners to ensure seamless execution and alignment 6+ years of experience in Marketing Operations, Marketing Technology, Growth Operations, or a related technical marketing role ...

London, United Kingdom. In this role, you will oversee and address our partners’ and customers’ technical needs. You will work with Jet Reports, Jet Analytics, BI, Process Runner, new product releases and other products, serving as the primary technical liaison between our organisation and our Partners to support their customers … within EMEA. ESSENTIAL FUNCTIONS Support partners to use, sell and implement Jet Reports, Jet Analytics, Reporting Intelligence, BI, Process Runner and other planning solutions effectively; develop and maintain partner technical readiness including enablement, platform, and product awareness. Collaborate closely with the Director of Solution Engineering on roadmap and strategic planning. ...

directly. About the Role: Grade Level (for internal use): 09 The Team: S&P Global (SPGI) is a leader in credit ratings, benchmarks and analytics for the global capital and commodity markets. Reporting to the Director for Internal Audit, you will be part of a diverse Internal Audit team with … effective remediation. Build and maintain productive working relationships with business unit management, acting as a trusted, objective advisor while maintaining independence. Leverage data analytics, automation, and emerging technologies to enhance audit efficiency, coverage, and insight. Contribute to the continuous improvement of Internal Audit practices by staying current on audit standards ...

Databricks. Support major transformation programmes, including our SaaS migration and wider business integration initiatives. Design and maintain data pipelines, models and curated datasets for analytics, reporting and data science. Collaborate with BI, Data Science, Architecture, Technology and business teams to deliver trusted data solutions. Champion engineering best practices, including testing … extensive experience in Databricks, Spark and lakehouse architectures. Strong understanding of data engineering, modelling and architecture best practices. Experience delivering data solutions for reporting, analytics and data science. Excellent communication and stakeholder management skills. Ability to balance strategic leadership with hands‐on technical delivery. Experience working in Agile environments. Experience ...

maximise the value of data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock … genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights. RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose ...

Science to join Raylo and lead our advanced model building. Raylo has built a strong data foundation over the past five years, with robust analytics and data engineering powering commercial decision-making across the business. In this role, you’ll take that foundation to the next level by designing, building … what’s possible to Raylo’s hardest problems. Collaborating with teams across the business, to identify high impact opportunities for machine learning and advanced analytics, Taking these projects end-to-end from idea through to production deployment and monitoring. Redesigning our model building, deployment and monitoring process using agentic architecture ...

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories … change that comes with working at a rapidly growing company. Prior experience working with SaaS solutions in the following domains is preferred: product analytics, digital marketing, A/B testing, business intelligence, customer data platforms, data warehouses/pipelines, or any of our integration partners. By applying for this ...