19 of 19 Analytics Jobs in Glasgow

engineering experience Familiarity with policy-as-code or platform governance controls Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ...

units. Experience with vector databases, prompt engineering, fine-tuning, understanding of when to apply different AI approaches to business problems. Knowledge of data engineering, analytics, and visualisation tools to support end-to-end solution delivery including data pipelines and user interfaces. Experience with React/JS Frameworks ...

with data engineers, security, and platform teams to deliver infrastructure that is scalable, secure, and production-ready. Your work will enable reliable, well-governed analytics workloads that drive insight and decision-making across the firm. Job responsibilities Design, build, and maintain cloud infrastructure on AWS using Terraform, including networking, security ...

processes into efficient digital workflows. • Identify opportunities to automate manual activities and improve user experience. • Develop standard operating procedures and user guidance. Reporting and Analytics • Develop dashboards, reports and performance metrics using Autodesk Forma data. • Monitor user adoption and platform performance. • Provide management information to support decision-making and governance ...

showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining ...

shape and execute the roadmap, run effective governance routines, and ensure delivery meets critical deadlines and budget/investment constraints Integrate customer feedback, data analytics, product metrics, user experience research, market analysis, and firm goals to drive prioritization decisions and measurable value realization Own and continuously refine the feature backlog ...

ability to understand the full-service lifecycle. • Project Management experience and qualification, Prince 2 or equivalent would be an advantage.? • Ability to use data analytics to drive focus and service improvements. Benefits We offer a competitive remuneration package reflective of the candidate’s skills and experience, along with a range ...

Applied experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management Preferred qualifications, capabilities, and skills Demonstrated prior ...

products, playing a key role in software development across the full lifecycle. Work hands-on with Image Processing, AI, and Data Analytics on platforms like SoCs, Microcontrollers, Single Board Computers, and HCI consoles. Collaborate with software leadership to review and enhance development processes across Thales. Responsibilities Provide technical leadership ...

powered data engineering programmes owning the full journey from pipeline design and build through to the data products that serve our clients AI, analytics and business needs. We operate in an AI-augmented delivery model where AI-assisted pipeline development, automated data quality and agentic data operations are current practice … discoverability, reusability, quality contracts and SLAs Relevant cloud or data platform certifications (e.g. Azure Data Engineer Associate, Databricks Certified Professional Data Engineer, AWS Data Analytics Specialty) AI platform and engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) AI practitioner certifications demonstrating hands ...

Working with IT on integrations and downstream impacts Supporting Workday releases and identifying opportunities to improve processes Using tools including EIBs, PECI, reporting, People Analytics and Worksheets Working with an external provider and acting as a key escalation point We’re looking for: Strong hands-on Workday experience ...

application and process improvement Maintain high standards of professionalism, ownership and delivery focus Requirements SKILLS, KNOWLEDGE AND EXPERIENCE Strong experience in AI, analytics, automation or digital solution delivery Ability to rapidly prototype and deploy practical solutions Strong project delivery capability Experience working with data and operational systems Strong stakeholder engagement ...

looking for an experienced Engineering Manager (Data) to lead the design, build, and evolution of a modern enterprise data platform that underpins advanced analytics, AI, and data-driven decision making. This is a highly technical, hands-on leadership role. You'll combine deep data engineering expertise with team leadership, helping … environments and modern cloud data services. Implement robust security, tenancy isolation, and performance controls across platform components. Develop data products and APIs that support analytics, integrations, AI solutions, and emerging intelligent applications. Work closely with wider data teams to ensure mastered and governed data is effectively modelled and delivered. Technical ...

leading global data and analytics provider has an exciting opportunity for a Product Owner to join a dynamic Product Team and play a key role in defining, prioritizing, and delivering data and platform capabilities. Key Responsibilities Product Ownership & Delivery Own and prioritise product backlogs, aligning delivery with product strategy, customer … stakeholder management skills, with a collaborative and customer-focused approach. Knowledge of financial data workflows. Experience working with data platforms, APIs, data models, or analytics products. Exposure to AI-enabled products, machine learning applications, or modern data technologies. Ability to translate strategic business objectives into practical product outcomes. Experience working ...

Agile analysis, stakeholder engagement and banking products, with the ability to translate complex business needs into scalable data solutions, uncover valuable insights through advanced analytics, and deliver meaningful outcomes through effective collaboration with business, technology and product teams. To be successful as a Lead Data Analyst you must have … Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls ...

above with areas of study/research in the field of IoT, Building Systems Controls, Connected Environments, Smart Buildings, Robotics, Data Science, Building simulation Analytics and/or A.I in the field of Built Environment. To be considered for a graduate opportunity, your application must include a copy of your ...

this role sits at the heart of that mission. As a Senior Lead Software Engineer at our client within the Engineering Efficiency and Analytics team, you will design and deliver a firmwide metrics and analytics platform that brings visibility to engineering performance, delivery health, and the measurable impact … insights for teams and leaders across the firm Build and operate reliable data pipelines that ingest, transform, validate, and publish metric datasets to power analytics experiences, integrating with platforms such as Databricks as needed Design, build, and maintain secure, scalable backend services and REST APIs that enable metric consumption ...

days per week in the office. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required … analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing ...

Overview Sanderson Recruitment are hiring an Implementation Engineer to work with a well-regarded FinTech client who provide global connectivity infrastructure and analytics tools within financial markets. This person will have the opportunity support the delivery and integration of a core analytics platform for clients operating in fast-moving technical ...