26 to 50 of 2,354 Permanent Analytics Jobs

This role is responsible for designing, building, and operating robust cloud-based data platforms that support large-scale analytics and reporting. You will work across the full data lifecycle, partnering closely with technical and non-technical stakeholders to deliver reliable, secure, and scalable data solutions. Key Responsibilities Design, develop ...

workflows • Acting as a senior technical figure within a small data team They’re looking for someone with: • 4+ years’ experience in data engineering, analytics engineering or data platform work • Strong Python and SQL • Snowflake or similar cloud data warehouse experience • CI/CD experience • Airflow or similar orchestration experience ...

optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute to a gold-standard reporting layer (Power BI semantic models) Work with stakeholders across Finance, HR, and Commercial teams Ensure strong data governance, security ...

Implement containerisation (Docker) for reproducibility and traceability Develop infrastructure-as-code (e.g. CloudFormation) Architect data pipelines and platforms for structured and unstructured data Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric) Enhance data governance, lineage, and auditability Collaborate closely with scientists and bioinformaticians Produce clear technical documentation Manage external ...

optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute to the development of a gold-standard reporting layer (Power BI semantic models) Work with stakeholders across Finance, HR, and Commercial teams Ensure strong data ...

join the Data and Insights team within a forward-thinking Essex-based housing association. This is a key role focused on delivering high-quality analytics, reporting, and insight to support better decision-making across the organisation. What you'll be doing Lead the design and delivery of impactful reporting ...

stakeholders to refine reporting for real-world decision-making. Mentor junior analysts and help shape analytical capability across the function. Requirements: Experience in data analytics, BI or project/programme environments. Advanced Power BI, SQL and Azure skills, with strong data-modelling capability. Ability to produce decision-ready insight ...

maintain Power BI semantic models with DAX, KPIs, and row-level security Deliver dashboards and reporting across commercial, marketing, and operational performance Support analytics use cases including attribution modelling, cohort analysis, and customer segmentation Translate business requirements into data solutions and present insights to stakeholders Promote best practices in data ...

Senior Data Analyst to join our Data & Underwriting team in a supervisory capacity. This position is ideal for a professional passionate about front-end analytics, dashboards, and business insights, while also having a basic understanding of back-end data systems. You will have the opportunity to mentor others, strengthen ...

institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable ...

institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable ...

design, develop, and maintain robust data pipelines and scalable data models. Your work will directly contribute to enhancing data accessibility, quality, and analytics capabilities within the university. Duties and Responsibilities Technical work to model data and Design and Develop Data Pipelines: ▪ Utilize Azure Data Factory to design and develop scalable ...

storytelling Develop robust DAX measures and business-aligned KPIs Data modelling & semantic layer Design and maintain scalable, reliable data models that support self-service analytics Ensure consistent definitions and trusted reporting across business areas Data preparation & data quality Support ETL/ELT processes to ensure timely, accurate and well-structured ...

already be security cleared to one of those levels. Technical Expertise: Proven experience in data engineering, software development, or systems integration, preferably within AI, analytics, or enterprise platforms. Problem-Solving Skills: Strong analytical abilities with a knack for troubleshooting and optimising complex data workflows. Communication Skills: Excellent ability to engage ...

into meaningful insight, ensuring data integrity, and building data products that genuinely influence decision-making. Youllcollaborate closely with teams across Halton Housing, using data, analytics, and innovative thinking to solvereal businessproblems, support excellent customer service, and help deliver our vision of Improving Peoples Lives. WhatYoullDo: Power BI;Coding DAX Measures ...

MLflow, along with controlled releases, rollback strategies, and continuous improvement workflows. Design, build, and optimize robust data pipelines in Databricks, feeding ML models and analytics workloads. Develop and maintain scalable data architectures including Azure Data Lake, Azure SQL Data Warehouse, and Synapse Analytics. Build and maintain reliable ETL/ ...

collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch Willingness to work across the stack by contributing to API development and, at times ...

improve customer experience. Deep technical knowledge “Proficient” to “Expert” level across a broad technology landscape, included but not limited to Data Engineering, Data Analytics, Machine Learning and AI. Experience and understanding with different delivery methods and tools including Waterfall, Agile, KANBAN, and JIRA. Understanding of market trends and industry best ...

Substantial knowledge and experience of supporting both SaaS and client business systems, databases, how these work and support the business, (managing/developing/analytics reporting and administration. Experience of delivering systems training in either a formal or informal way. Excellent communication, collaboration and relationship building skills with the ability ...

will drive a step change in workflow and impact. Monitor and evaluate the effectiveness of strategy, change or transformation initiatives, making adjustments as necessary. Analytics, reporting and instrumenting the business: development of analysis, dashboards and KPIs to help manage the business effectively, identifying key metrics and building confidence in data ...

Fabric (Data Factory, Lakehouse, Warehousing) Implement ETL/ELT processes using tools such as Azure Data Factory Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage Collaborate with analysts and stakeholders to deliver high-quality, reliable data solutions Ensure data governance, security, and performance best practices ...

Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft ...

Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals 3 official examinations: Microsoft ...

Provide technical leadership, set engineering standards and contribute to architectural decisions. Mentor engineers and foster a culture of continuous improvement. Work closely with architecture, analytics and business teams to align engineering solutions with organisational needs. Minimum Criteria Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage ...

cross-functional teams across engineering, operations and data Supportive environment with strong learning and development focus Clear pathway into a long-term data, analytics or performance role within the business Diversity and inclusion This organisation is committed to building an inclusive workplace where everyone can contribute and thrive. Applications ...