1 to 25 of 128 Analytics Jobs in the North East

Terraform. Familiarity with at least one major cloud platform (Azure, AWS, or GCP) and associated data services Guide the selection and implementation of analytics and reporting tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Able to work closely with senior stakeholders to translate complex business requirements into scalable data platform ...

help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets ...

with Snowflake or similar cloud data warehouse platforms• Python development skills, particularly for data-driven applications• Exposure to customer segmentation, propensity modelling, or predictive analytics• Familiarity with SaaS, subscription, or recurring revenue business models• Experience with Power BI or other data visualisation tools• Understanding of data governance and quality management ...

intellectually stimulating environment. The successful candidate will play a key role in designing, building, and maintaining scalable data platforms and pipelines that support advanced analytics and decision-making. The Role As a Data Engineer, you will work closely with technical and non-technical stakeholders to develop reliable, scalable, and high ...

solutions into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data ...

complex datasets between platforms. Experience designing staging and production data environments . Strong understanding of data transformation and mapping. Experience supporting reporting and analytics through well‐designed data structures. Ability to provide technical leadership across data migration workstreams. Strong stakeholder management and communication skills. Experience identifying and managing data migration ...

government, healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working ...

data and innovation function where you will play a key role in shaping and scaling a modern Azure-based data platform that supports advanced analytics and AI initiatives across the business. The Company They are a large international organisation investing heavily in their data and AI capabilities. Their newly established ...

Lean Six Sigma* Understanding of BPMN and DMN for process mapping and decision modelling* Awareness of tools like Celonis, Signavio, KNIME or similar analytics/process mining platforms* Ability to interpret process data and recommend improvements* Awareness of how automation contributes to sustainability outcomesTo be successfully appointed to this role ...

Sage is seeking a data engineer to own data pipelines and analytical workflows, turning fragmented data into actionable commercial insights. You will optimise Snowflake, develop reusable datasets, and automate workflows to accelerate decision-making. Collaborate ...

support Pricing, Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … optimise cloud-based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

naturally curious, commercially aware and passionate about using data to influence decisions. You'll likely bring: • Experience in forecasting, financial planning, business analytics, revenue operations or a similar analytical role. • Strong analytical and problem-solving skills. • Advanced Excel skills and experience with data visualisation or reporting tools such as Power ...

Tesco Insurance & Money Services. This is an exciting opportunity to join a growing data function within our Claims business, where you'll use advanced analytics and insight to solve complex problems, improve customer outcomes, and drive meaningful business impact. If you're curious, innovative, and passionate about turning data into ...

Harvey Nash Group is partnering with a fast-growing business in Newcastle to hire a Senior Data Analytic Engineer. You will own a modern cloud data platform, enabling data-driven decision making and shaping architecture ...

help shape the future of data amid a major cloud transformation. You will turn complex data into actionable business insights and build scalable analytics solutions. Join a high-performing team, develop cloud-based data pipelines with SQL, Python, AWS Glue, and Power BI, and deliver dashboards that inform decisions ...

integrity and optimisation of critical financial data. Your work will span everything from supporting enterprise market data platforms such as Bloomberg to delivering automation, analytics and strategic projects using Python and SQL. You'll have the autonomy to identify improvements, lead initiatives and develop specialist expertise in the areas that ...

DevOps Engineer) Our client is a cutting-edge FinTech company with a reputation for innovation and excellence. They design and build advanced trading and analytics platforms used globally by some of the world’s leading financial institutions. With ambitious plans for growth and new product launches, they are now seeking ...

colleague teams to understand information needs Presenting findings clearly to both technical and non-technical audiences Supporting the Lead Data Analyst in prioritising the analytics workload As Data Analyst, youll need: Strong, commercial Data Analyst experience gained in a similar role, preferably in a fast-moving, growing health and/ ...

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 ...

decisions with the power of data? Do you want to turn data into insights that make a real difference? Are you ready to use analytics, KPIs and storytelling to solve complex problems for our clients in government, healthcare and purpose-driven businesses? If so, our client could be the place ...

robust evaluation/monitoring suitable for regulated clients* Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards. · Working effectively in a team, supporting your peers in delivering at pace and meeting our own high ...

warehouse performance to ensure efficient processing and reporting. Collaborating with BI Developers and Power BI specialists to deliver reporting datasets, semantic models and analytics solutions. Producing technical documentation, including data mappings, transformation logic and deployment procedures. Supporting testing, deployment, knowledge transfer and the transition of solutions into business-as-usual … support. Main duties of the job Significant experience delivering data engineering, BI and analytics solutions, including the development of scalable cloud-based data platforms. Strong technical expertise in Microsoft Fabric, including Lakehouses, Warehouses, Pipelines and related technologies, alongside strong SQL and PySpark knowledge. Experience implementing data quality, governance and lineage ...

Engineer on a 2 year fixed term appointment to play a key role in designing, building and maintaining a modern data environment that supports analytics, reporting and wider business decision-making. The role will focus on developing scalable data pipelines, robust data models and reliable data platforms, ensuring that data … effective relationships with internal stakeholders, third-party suppliers and external partners where needed. Promote continuous improvement, innovation and best practice across data engineering and analytics services. Act as a positive role model within the team, encouraging knowledge sharing, accountability and a service-led mindset. Core Responsibilities Design, build and maintain ...

data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data Governance and responsible AI principles - The ability to partner with and influence senior stakeholders, building trust across … applications using frameworks such as LangChain, vector databases or agentic AI approaches - Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services - Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.) - Experience using AI or Agentic techniques in application ...

Cloud Bridge is seeking a Senior Data Engineer to own the design and delivery of a scalable data platform powering analytics and AI across the business. You will lead data modelling, governance, and the implementation of AI-ready architectures, collaborating with CTO and stakeholders to align data strategy with objectives. ...