26 to 50 of 120 Analytics Jobs in Glasgow

lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good performance, relationships, quality, and reusability Support enterprise BI development by preparing datasets … clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting At Sword, our core values and culture are based on caring about our people, investing in training and career development, and building inclusive ...

well-established and growing business based in London that takes a data-driven approach to everything it does. They are investing in their analytics capability and are looking for a graduate who can grow with them — someone who brings technical ability, intellectual curiosity, and a genuine desire to make data ...

with technical and non‐technical teams. Ability to work autonomously, manage competing priorities and deliver pragmatic, solutions‐focused advice. Desirable Experience in SaaS, data, analytics, AI, cloud, digital platforms or enterprise technology. Familiarity with privacy frameworks (GDPR, ePrivacy, global privacy regimes). Exposure to legal operations, contract lifecycle management ...

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 ...

improvement processes Experience in enterprise-wide release and deployment processes and strategies Advanced knowledge of the product development life cycle, technical design, and data analytics Effective communication and team building skills Understanding of Public Cloud Providers and Capabilities (AWS required) Preferred qualifications, capabilities, and skills Recognized thought leader within ...

design, API design, application functionality, and technical operations Build and integrate services supporting portal experiences such as API discovery, documentation delivery, onboarding flows, entitlements, analytics, and developer self-service Implement and advocate for security best practices, including secure coding, secrets handling, authentication/authorization, and data protection Participate in agile ...

Data AI platforms, performing hands-on development, data pipeline creation, and cross‐functional collaboration to evolve data strategy. In this Director-level Data & Analytics Engineering role, you will craft data models, implement governance, and drive scalable solutions using Snowflake, Databricks, Python, Spark, and cloud services. #J-18808-Ljbffr ...

Data Science/ML Engineers Location - Glasgow, (Edinburgh is also fine) Duration - 6 months Onsite Requirements - 2-3 days onsite Skills Analytics Centre of Excellence is looking for experienced ML Engineer to support a new initiative focused on Transaction Monitoring (TM) for Business Banking. A similar machine learning-driven transaction ...

solid understanding of modern NLP and/or financial knowledge, hands‐on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities Design and implement agentic AI workflows that automate and streamline complex business processes. Design ...

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 ...

Manage the feature backlog, including scope, prioritization, and trade-offs based on value and risk Coordinate delivery across cross-functional teams (data architecture, engineering, analytics, and compliance) Drive end-to-end delivery of roadmap items, surfacing risks and cross-team dependencies early Deliver capabilities that support metadata capture for lineage ...

machine learning Skilled at influencing executive-level strategic decision-making and translating complex technology insights into actionable business strategies for senior leadership Strong data analytics skills, including proficiency in tools such as Excel and other data analysis platforms Proven track record of delivering results against deadlines, with accountability and responsibility ...

degree in Computer Science, Engineering, or related field Experience in professional software development Working knowledge of IoT system development lifecycles Working knowledge of Data Analytics Saas models Are you interested? You may be an extraordinary fit if you Deep fluency in Agile/Scrum; familiarity with Lean product development Ability ...

ITIL-aligned service organisations Experience with FinOps and cost optimisation practices Exposure to multi-entity/shared service models Experience supporting data platforms and analytics workloads Qualifications Azure certifications (e.g. AZ-104, AZ-305 or equivalent) ITIL v4 Foundation (or working towards) Behavioural Expectations (Aligned to FO Digital Values & Model ...

Manufacturing & Maintenance, including role‐based experiences, standard work digitization, and adoption across sites Lead identification, prioritization, and delivery of high‐value AI and advanced analytics use cases for the shop floor (e.g., predictive maintenance, anomaly detection, quality insights, loss intelligence) Partner with OT/IT/Digital teams to integrate ...

A leading global financial services firm is seeking a Data Infrastructure Architect - Vice President to oversee enterprise-scale data platforms. Candidates should have a minimum of 7 years of experience in IT data infrastructure and ...

architectures within the Compute Infrastructure Platforms team. You will collaborate with agile teams to deliver secure, reliable data solutions that power the firm's analytics and decisions. You will own end-to-end data lifecycle, from ingestion to access, implement backups and archiving, and champion data quality and security. #J ...

data engineering solutions. The focus is on utilising PySpark, Spark, Python, and various AWS services to enable secure, reliable, and efficient data processing and analytics across enterprise platforms. This position is crucial for enhancing data capabilities within Capgemini's extensive operations. Requirements Proven experience in designing, building, and maintaining scalable ...

needed to take the lead in a low carbon world. They provide expertise, advice and day-to-day support in emerging technologies, data and analytics, cyber security and more Flexible benefits to fit your life Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online ...

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 ...

skills in a specialist market with strong long-term relevance. You'll gain exposure to: Smart buildings and connected technologies Building performance and operational analytics Sustainability and efficiency-driven initiatives Customer reporting and data visualisation platforms Data quality, reconciliation and system administration Rather than simply maintaining records ...

exerts technical influence throughout your team Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets ...

internal forums and communities of practice Drive initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels, proactively identifying and resolving technology-related bottlenecks Collaborate with your team to identify comprehensive service level indicators and partner with stakeholders ...

finance functions to achieve cost savings and improved service quality.Performance Management and Reporting: Establish key performance indicators (KPIs) and reporting frameworks using Oracle analytics tools, enabling clients to monitor financial performance and drive data-informed decision-making.Leading Transformation Initiatives: Drive end-to-end transformation projects, collaborating with clients to assess ...

Barclays Bank UK PLC in Glasgow is seeking a Credit Risk Associate Analyst to manage and optimise the bank's credit risk exposure. You will monitor, analyse, and report on the creditworthiness of the lending ...