51 to 75 of 4,268 Remote Analytics Jobs

colleagues, customers and businesses. We’re growing with purpose. Join us on our journey and you will too! Job Description TITLE: Senior Advanced Analytics Analyst SALARY: £72,700 - £80,780 LOCATIONS: Edinburgh or Bristol HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least … days per week, or 40% of our time, at one of our office sites. Help shape the future of AI-powered analytics at one of the UK’s largest financial services organisations. About this opportunity We’re investing heavily in our data, technology and AI capabilities, transforming how we generate ...

uniquely positioned to transform our extensive video library into valuable datasets, metadata and insights for AI companies. We're looking for a Data Science & Analytics Lead to help us get more value from our data, improve our analytics and reporting, and develop practical data solutions that support the business. … Role In this role, you will be responsible for the day-to-day development and delivery of Newsflare's data, analytics and reporting capability. This is a hands-on role for someone who enjoys working with data, solving business problems and building analytical solutions. You'll work with teams across ...

critical enabler of data-driven decision-making across Columbia Threadneedle Investments EMEA, based in London. The position reports to the Vice President of Columbia Analytics and EDAI AI Strategy and is a senior individual contributor role requiring expertise in Asset Management or Financial Services.This role is specifically intended … experienced analytics professional who has operated within an investment management or broader financial services environment and understands the data, decision-making processes, and regulatory context of the industry. Significant experience partnering with senior stakeholders in Asset Management, Investments, Distribution, Product, Client, and other related functions is essential.The individual acts ...

Technology teams to design and implement automated solutions, streamline control execution, enhance reporting capabilities, and strengthen governance oversight. The individual will leverage data analytics and technology solutions to improve the effectiveness, efficiency, and transparency of the MCA program while ensuring compliance with Citi's Policies, Standards, and regulatory expectations. … Control owners, risk, and technology stakeholders to identify automation opportunities and deliver scalable solutions that reduce manual effort and improve data quality. Utilize data analytics to identify trends, exceptions, control weaknesses, and emerging risks within the MCA framework. Support the transformation and optimization of MCA processes through workflow automation, reporting ...

summaryWe are looking for a Senior Advanced Analyst to help shape how Essex ICB uses advanced analytics, evaluation and population health intelligence to support strategic commissioning, prevention, transformation and resource allocation.This is a senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost across … analytical methods to complex system questions and translate findings into clear intelligence that supports senior decision making.The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development.Main ...

summary We are looking for a Senior Advanced Analyst to help shape how Essex ICB uses advanced analytics, evaluation and population health intelligence to support strategic commissioning, prevention, transformation and resource allocation. This is a senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost … methods to complex system questions and translate findings into clear intelligence that supports senior decision making. The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. ...

services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations. EXL was founded on the core values … York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com. BU/Segment: Analytics/Data Management/Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP Summary ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

combines strong software engineering fundamentals with hands-on experience working with large and complex datasets. You will leverage modern data platforms, cloud technologies, and analytics tools to build scalable applications, data pipelines, and dashboards that drive informed business decisions and deliver value to customers.QualificationsKey ResponsibilitiesDesign, develop, and maintain enterprise applications … datasets from multiple data sources.Design and implement data models, ETL processes, and integrations that ensure data quality, reliability, and performance.Leverage modern data platforms and analytics solutions to generate actionable business insights and support organizational objectives.Write clean, maintainable, well-documented, and thoroughly tested code.Participate in code reviews and contribute to engineering ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

completeness.Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data.Develop and maintain scalable data pipelines to support analytics and operational decision-making.Implement data quality controls and prepare datasets for reporting and visualisation.Design and maintain data models to support analytical and operational requirements.Manage and optimise … optimise data workflows to improve performance, reliability, scalability, and cost efficiency.Evaluate emerging data technologies and identify opportunities to improve engineering capabilities.Contribute to data analytics and visualisation strategies.Present technical findings and recommendations to customers and stakeholders.Work collaboratively with technical and non-technical teams throughout the project lifecycle.About YouWe are looking ...

data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will … quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics‐ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate ...

products while influencing how data is utilised across a leading international law firm.Why Join DAC Beachcroft Be part of a significant investment in data, analytics and AI capabilities.Play a key role in building and shaping a modern Microsoft Fabric data platform.Work with complex, high-value data sets across an international … Notebooks, Lakehouse and Warehouse components.Migrating existing on-premise and cloud-based data solutions into modern Fabric architectures. Developing and optimising data models to support analytics, reporting and business insight. Integrating data from multiple business systems, including finance, CRM and operational platforms.Building robust ELT/ETL processes that deliver high levels ...

delivery lifecycle and mentors others in the team.Experience working on large and complex projects, programmes and products spanning multiple geographical locations, ideally including data, analytics, AI, automation or digital product delivery.Proven experience of working with a wide range of business stakeholders including lawyers, Partners or heads of function.Technical knowledge … functional and non-functional requirements.Bring a practical understanding of data to discussions, including the ability to speak confidently with data engineers, data scientists and analytics teams.Support any third party selection processes by providing the business requirements.Run/support UAT by producing UAT scripts, running UAT sessions and capturing feedback.Support ...

lifecycle and mentors others in the team. Experience working on large and complex projects, programmes and products spanning multiple geographical locations, ideally including data, analytics, AI, automation or digital product delivery. Proven experience of working with a wide range of business stakeholders including lawyers, Partners or heads of function. Technical … functional requirements. Bring a practical understanding of data to discussions, including the ability to speak confidently with data engineers, data scientists and analytics teams. Support any third party selection processes by providing the business requirements. Run/support UAT by producing UAT scripts, running UAT sessions and capturing feedback. Support ...

orchestration Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics A strong background in Python and SQL development Proven experience building batch and streaming data pipelines Experience implementing Medallion Architecture and Lakehouse patterns Strong understanding ...

Data Analytics Lead (Azure PowerBI SQL) Watford/WFH to £100k Do you have strong Data Analytics knowledge? Looking for an opportunity to take ownership and shape the data strategy of a growing company? You could be progressing your career in a senior, hands-on data transformation role; this … newly created, influential role with responsibility for data strategy, analytics, data platforms, automation and CRM, helping the firm use technology and AI to make better decisions, improve efficiency and support sustainable growth. As the Data Analytics Lead you'll initially learn about the business, audit the current data systems ...