151 to 175 of 210 Dashboard Development Jobs in England

SENIOR PRODUCT ANALYST HYBRID - LONDON - 2 days a week in the office SALARY - UP TO £85,000 ABOUT THE COMPANY A tech for good business with exciting growth plans is looking to build out their ...

Role: Insight Analyst Salary: Up to 40,000 (location depending) + benefits Term: Permanent Location: Manchester or Stratford, London up to 2 days per week hybrid working Hours: Mon-Fri 8am-4pm or 9am-5pm ...

activation best practice, keyword strategy and optimisation within Google Ads and related platforms. • Support the delivery of a demand forecasting and media performance dashboard for a key global client. • Translate insights into clear recommendations and guide clients through media processes and optimisation strategies. • Work closely with analytics teams … global brands and cross market projects. • The opportunity to broaden your experience into analytics, measurement and advanced reporting. • A collaborative environment with strong career development pathways. How to Apply If you are ready to bring your media expertise into a growing consultancy and work closely with global brands, please ...

Description Location- Newcastle, Manchester Sheffield or Leeds About Scrumconnect Consulting Scrumconnect Consulting is a UK national SME award-winning software development consultancy with over 300 consultants across the UK. We work with UK Public Sector clients to build impactful, award-winning digital services that improve millions of lives. … delivery teams focused on one or more products, Performance Analysts should have the following essential skills: Ability to take a lead role in the development of the performance metrics and key performance indicators (KPIs) for the service and build dashboards and provide in depth reports to communicate key metrics. ...

***Outside IR35 opportunity*** We are supporting a client of ours in their search for a Finance professional who can help them with a project, post merger. Our client is looking for someone who can help ...

Open Shift Telemetry Job Description Role Overview Role/Job Title: OpenShift Telemetry Work Location: London/Sheffield Mode of Working: Hybrid Office Requirement (if hybrid): 10 days a month The Role We are seeking ...

Key Responsibilities: Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and ...

People Systems & Data Specialist 12 months fixed term I'm looking to recruit a People Systems & Data Specialist to support the management, improvement, and effective use of HR technology and workforce data. This role focuses ...

Data & Insights Manager Lytham St Annes, Lancashire £45,000 + great benefits (BUPA private healthcare, pension, life assurance, bonus & more) Are you a data-driven professional who enjoys turning customer data into meaningful insight? Were ...

Job Title: GCP FinOps Engineer Location: Newport, UK (Hybrid) Contract Duration: 6 Months IR35 Status: Inside IR35 Role Overview We are seeking an experienced GCP FinOps Engineer to optimise cloud spend, performance, and operational efficiency ...

Location: Worcester area (fully onsite) Duration: 6 month initial contract Rate: 78ph LTD (Outside IR35) Due to the nature of the role, candidates must hold active DV clearance. Role details: Our client, a leading defence ...

PMO Analyst (Project Portfolio & Governance) Sector: Engineering/Infrastructure/Technology £27 per hour Umbrella *INSIDE IR35* 12 Month Contract Coventry We are looking for a highly analytical PMO Analyst to join our portfolio team. ...

Salesforce Lead Department: Technology Location: Norwich Work Pattern - Hybrid Salary: £55,000-£60,000 Why This Role Exists The business is experiencing rapid growth and its salesforce platform sits at the heart of revenue generation ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...

developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS applications. Core Responsibilities • AI & Data Science Product Development: Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration … powered product capabilities. • AI Tooling & Adoption: Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity. • Project Planning & Execution: Own end to end project delivery. Define scope ...