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 ...

technologies. Experience working with enterprise data platforms such as Databricks , PostgreSQL , or similar technologies. Strong stakeholder management and communication skills. Desirable Skills Knowledge of analytics and reporting platforms (e.g., Power BI). Experience with DevOps, CI/CD pipelines, and Infrastructure as Code. Familiarity with modern data governance and cloud ...

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 ...

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 ...

REST APIs & Microservices Azure Cloud CI/CD, Git, and DevOps practices Database and system integration experience Desirable: Experience in energy, trading, optimisation, or analytics platforms. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy. ...

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 ...

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 ...

This role will focus on building, optimising and embedding trusted Power BI semantic models, dashboards and analytics solutions that enable consistent, evidence based decision making across the function. Working with the People Analytics Manager and team, the role will take accountability for specific analytics deliverables, including designing data quality frameworks … Performance & Governance and wider People teams to ensure shared data assets are trusted, reusable and well documented. Additionally, the role will deliver agreed analytics projects which provide clear business value. Responsibilities · Take shared ownership of People Analytics Power BI semantic models as trusted, single source of truth assets, including measures ...

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 ...

overall data architecture, standards, and governance framework for the solution. This role ensures data is structured, secured, and managed effectively to support operational reporting, analytics, and future AI initiatives. Key Responsibilities Design the target-state data architecture and integration patterns. Define data models, standards, and governance policies. Establish data security … quality, and retention principles. Work with business and technical stakeholders to align platform capabilities with business objectives. Provide architectural oversight across data engineering and analytics delivery teams. Essential Skills & Experience Experience designing enterprise data platforms and architectures. Strong understanding of cloud-based data solutions, preferably Azure & Databricks. Knowledge of data ...

This role will focus on building, optimising and embedding trusted Power BI semantic models, dashboards and analytics solutions that enable consistent, evidence based decision making across the function. Working with the People Analytics Manager and team, the role will take accountability for specific analytics deliverables, including designing data quality frameworks ...

Data Modeller will design and maintain logical and physical data models that enable consistent, scalable, and governed use of enterprise data across reporting and analytics solutions. Key Responsibilities Develop conceptual, logical, and physical data models. Define relationships between business entities and datasets. Work with architects and engineers to implement data … structures. Maintain data dictionaries and metadata standards. Ensure models support governance, reporting, and analytics requirements. Essential Skills & Experience Strong experience in data modelling techniques and methodologies. Knowledge of relational databases and dimensional modelling. Ability to translate business requirements into data structures. Experience using data modelling tools. Disclaimer: This vacancy ...