15 of 15 Remote/Hybrid Analytics Jobs in the North East

organisation's data capabilities. The successful candidate will play a key role in designing, developing and optimising data pipelines that support reporting, analytics and business-critical decision-making. You will collaborate with a range of stakeholders to ensure data is accessible, reliable and delivered efficiently across the organisation. Key Responsibilities ...

years of experience as a Business Analyst in a software delivery or technology environment. Bridge the gap between IT and the business using data analytics to assess processes, elicit requirements and deliver data-driven recommendations and reports to executives and stakeholders Create functional designs, sequence diagrams, process flows, business rules ...

improving processes, and driving performance. Whilst a strong understanding of data, reporting, and business intelligence is important, this is not a hands-on technical analytics role. Instead, the focus is on leadership, operational excellence, and ensuring the team delivers exceptional outputs. Key Responsibilities: Lead, coach, and develop a team ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

growing Technology & Data team. This is a genuine graduate development opportunity with hands-on experience, mentoring, and a clear pathway into Data Engineering/Analytics Engineering. If you're curious, analytical, and motivated to learn quickly, we would love to hear from you. What You’ll Gain A structured graduate … scheme with clear progression Mentorship from an experienced Senior Data Engineer Early responsibility with real business impact A defined pathway into Data Engineering or Analytics Engineering Exposure to a modern tech stack including: SQL, Python, Power BI, Microsoft Fabric and Azure About the Opportunity You will begin with broad exposure ...

while mentoring team members and driving delivery excellence. Defining and executing the Knowledge Management and AI-enabled knowledge strategy, embedding AI, automation, and advanced analytics into knowledge workflows to enhance efficiency, accessibility, and business impact. Partnering with senior stakeholders across the business to shape the knowledge agenda, influence adoption ...

support Azure based solutions for compute, storage, networking and security Monitor and optimize cloud resources for performance and cost efficiency using Azure Monitor, Log Analytics, and Application Insights Implement security best practices, including RBAC, Key Vault, and Azure Policy Support and maintain an integrated IT estate that comprises ...

opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. You’ll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud‐based architectures that … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes‐based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well‐structured datasets. Participate in code reviews and internal knowledge‐sharing sessions. Provide guidance to junior engineers ...

need of some talented .NET Developer to help build the software applications and cloud platforms that they need to run advanced data analytics and capture information from the high speed tests that they are running on a daily basis. .NET Developer applicants should have knowledge of: .NET, .NET Core, C# ...

clean, efficient code A team player who’s equally comfortable working independently Bonus points if you’ve dabbled in React Native, CMS platforms, or analytics integrations - but not essential. Why This Role Stands Out Real ownership – your contributions won’t get lost in layers of hierarchy Modern tech environment ...

control and CI/CD practices A good understanding of performance, scalability, and secure development Desirable (but not essential): Exposure to CMS platforms or analytics tooling Experience integrating third-party systems Interest in mobile development (e.g. React Native) Above all, you’ll be someone who is collaborative, curious, and motivated ...

risk models into production. As a Software Developer you will design and develop high performance applications, APIs and services that support cross asset trading, analytics and risk management workflows. Collaborating with quantitative researchers and financial specialists, you'll tackle challenging technical problems involving scalability, performance, data processing and system design ...

strategy and standards, modernise legacy platforms, and drive scalable, governed data solutions across the business. Key responsibilities Define scalable enterprise data architecture (ingestion, transformation, analytics, governance) Architect and optimise Snowflake (warehousing, sharing, performance) Lead cloud modernisation/migration to AWS and automation of data pipelines Set best practice around modelling ...

financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity to lead at the heart … national critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats, support ...

through managing IVR routings making decisions to change routings to improve commercial results and or in emergency in support of the homes Introduce voice analytics to listen to calls Use voice analytics to understand the customer journey and service being received by our customers. Work alongside the Contact Centre … based on what's working Complete reporting reviews periodically, reviewing measurement in place and completing data analysis, identifying problem areas in reporting Use voice analytics to share feedback and reporting on the experience being offered, making recommendations for change or sharing best practice where relevant to drive improved quality ...