76 to 100 of 1,251 Remote/Hybrid Analytics Jobs

data services team to include directing the design, development, testing, deployment and maintenance of enterprise software applications. This position supports data integration, reporting, and analytics; establishes development standards and quality processes; collaborates with stakeholders; and performs hands-on coding. Requirements: A hands-on people leader. The ideal candidate will have ...

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 ...

Experience supporting or integrating BI solutions with business applications. Relevant Microsoft certification, such as PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer). Certification is beneficial but not essential. How to Apply: If youre ready to take the next step in your career with a company ...

Microsoft co-sell programmes, licensing discussions and marketplace offerings. Knowledge of Microsoft Copilot, Responsible AI and intelligent automation solutions. Experience with Azure integration services, analytics platforms and modern data solutions. Experience creating reusable demonstrations, solution accelerators and practice assets. Thought leadership, blogging, speaking engagements or community contributions. Relevant Microsoft certifications ...

Experience working with CI/CD pipelines and version control tools (e.g., Jenkins, Git).Familiarity with data-driven testing, ETL/data validation, or analytics-based applications. Knowledge of performance or security testing tools and practices. Language Skills: Bilingual proficiency in French, Spanish or German is nice-to-have ...

consumption optimisation, unit economics and value measurement, while retaining core FinOps responsibility for the wider cloud estate. The role will provide insightful reporting and analytics, improve financial accountability and ensure token-based consumption is actively governed and optimised.This position is hybrid working, with a requirement to be in office ...

consumption optimisation, unit economics and value measurement, while retaining core FinOps responsibility for the wider cloud estate. The role will provide insightful reporting and analytics, improve financial accountability and ensure token-based consumption is actively governed and optimised. This position is hybrid working, with a requirement to be in office ...

people who demonstrate curiosity, a willingness to learn and the ability to apply technology to practical challenges. Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. … engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

Head of Data & Analytics Location: Hampshire Working Pattern: 9-day fortnight We are recruiting for an exciting Head of Data & Analytics opportunity with an established organisation operating across the aerospace, defence, security and events sectors. Reporting to the CIO, you will lead the development of the organisation's data strategy … platforms and analytics capability, helping to drive commercial performance, operational efficiency and better business decision-making. This is a fantastic opportunity to build and shape a growing Data & Analytics function, with modern technology foundations already established and strong support from senior leadership. The Role Combining strategic leadership, business engagement ...

HEAD OF ANALYTICS LONDON | £90,000 - £150,000 + 20% BONUS + BENEFITS This is an opportunity to lead a business-critical analytics and decisioning function within a highly data-driven financial services environment. Sitting at the intersection of Credit Risk, Analytics, and AI, you'll shape strategy, influence senior … remain close enough to the detail to drive meaningful change. THE COMPANY They are an established financial services business undergoing a significant transformation across analytics, decisioning, and AI adoption. With strong investment in technology and data capabilities, they are focused on using analytics to drive smarter commercial and risk decisions ...

Note We Do Not Offer Sponsorship The Opportunity Looking for a Data Engineer to build and maintain the data pipelines and platforms that power analytics, reporting and machine learning. You'll work with modern cloud tooling and join a collaborative team where your work has real business impact. What ...

Analyst: Background in banking, financial services, claims management or legal services Experience preparing investor presentations and financial reporting Power BI, SQL or other data analytics tools Experience improving financial processes, reporting structures and operational KPIs If you are interested in the role of Senior Financial Analyst, please apply ...

translate complex business requirements into meaningful insight through Power BI, Azure Data Lake, Databricks and SQL, whilst championing best practice across reporting, analytics and data management. Alongside leading transformation initiatives, you'll mentor your team, promote continuous improvement and help establish a future-ready data function that delivers real commercial ...

client is a global professional services firm with thousands of employees operating across multiple international regions. They are continuing to invest significantly in technology, analytics and AI, creating a sophisticated data environment that supports business-critical decision making and innovation. This role sits within a growing technology function and offers ...

engineers, software engineers and data scientists to deliver robust, secure and maintainable Foundry solutions. Integrate Foundry with wider enterprise platforms, cloud environments and downstream analytics tools. Build trusted relationships with senior stakeholders, shaping new opportunities and ensuring value realisation from the platform. Skills and experienceSignificant hands-on experience delivering Palantir ...

Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make ...

Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make ...

data platform. The role combines data architecture, hands-on engineering, line management and technical leadership to provide secure, scalable and trusted data for reporting, analytics and AI. As a Lead Data Engineer, you will:Design and implement scalable data warehouse and Microsoft Fabric solutions. Define data architecture standards, design patterns ...

data modeling and data integrationSkilled in data manipulation, processing and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestProficiency with GitHub, GitHub Actions and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead ...

experience. • Chartered Engineer status or equivalent professional recognition. • Microsoft Azure platform experience. • Exposure to CI/CD and DevSecOps practices. • Experience with reporting and analytics platforms such as Power BI. • Knowledge of containerisation technologies including Docker and Kubernetes. • Experience working with international and distributed teams. • Familiarity with data warehousing concepts ...

metadata and stewardship. Ensuring data integrity, security, accessibility and compliance across multiple group businesses. Working with business stakeholders to identify opportunities for improved reporting, analytics and data-driven decision-making. Supporting the development of a consistent, scalable and commercially valuable enterprise data capability. Collaborating with technology, operations, information security ...

languages (Python, JavaScript, or similar) and system integrations using APIs. Data & Automation: Strong analytical skills with experience managing BigQuery, ETL processes, or cloud-based analytics, alongside BI/reporting tools. Communication: Able to support both technical and non-technical users patiently and clearly, design complex spreadsheets, and translate business requirements ...

technical specifications.Solution Implementation Support: Collaborate closely with development and engineering teams during the implementation phase, providing architectural oversight and resolving data-related technical challenges.Reporting & Analytics Enablement: Design data structures and access patterns that enable efficient and accurate generation of various internal and external reports, including regulatory filings and client statements.Technology ...

architectures, technical designs and measurable outcomes.Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time-series analytics and autonomous systems.Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation.Collaborate with software, systems, cyber and data engineering ...

technical designs and measurable outcomes. Develop, train, evaluate and optimise machine learning models across areas such as computer vision, NLP/LLMs, time-series analytics and autonomous systems. Build robust data processing, training and evaluation pipelines, including feature engineering, experiment tracking and model validation. Collaborate with software, systems, cyber ...